LAPACK and ScaLAPACK Survey Results - by response

[ view answers grouped by question ]



Response #1: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Vector-computers, Distributed-shared-memory, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
BLAS, linpack, eispack (legacy code)

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Not useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Generalized eigenvalue, Symmetric eigenvalue, Non-symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
vendor lib decreases our runtime by 10%-20% (of calculations taking hours to days).

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

3. If using another package, which one(s)?
(we use coarse-gain parallelization above the numerical layer)

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, BSD, IRIX, Linux, Solaris, Tru64, Unicos

2a. Please specify any particular libraries of frameworks used?
MPI, pthreads, OpenMP

3a. Please specify any particular libraries of frameworks used?
MPI


Additional Information

5.Description of related activities
programmer and maintainer of ACESII computational chemistry package



Response #2: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Frequently
c. More than double precision: Rarely
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: More than 1,000
b. Distributed shared-memory: More than 1,000
c. Distributed memory: More than 1,000

6. Which architectures do you use or intend to use in the next three years?
Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Generalized eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
Fortran 90/95

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
HP/UX, Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #3: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Very Frequently
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Rarely
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP:
b. Distributed shared-memory: Less than 10
c. Distributed memory:

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
CLAPACK

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Banded linear systems, Generalized eigenvalue, Symmetric eigenvalue, Non-symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
No

2. If you do not use LAPACK, why?
Use another pkg

3. If using another package, which one(s)?
CLAPACK

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
CLAPACK

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
CLAPACK

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics




Response #4: 2005-08-09

General

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Sometimes
d. Complex single precision: Never
e. Complex double precision: Sometimes
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Distributed-memory

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
none

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types:
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Non-symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

11. From which languages do you call LAPACK routines?
C, Fortran 90/95, Python

14. If you have installed LAPACK yourself, how could the installation process be improved?
Haaave the default make target *not* run the test phase.

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, opteron-based systems


Additional Information

6.Additional Comments/Suggestions
I'm not a primary customer and more weight should be given to the comments from apps users. Mainly I'm filling this in so that the Lapack team will know they have yet another customer. :-)



Response #5: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Sometimes
c. More than double precision: Rarely
d. Complex single precision: Sometimes
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Vector-computers, Distributed-shared-memory, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
General linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
vendor's version may only have LU solver, not the full library

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95

14. If you have installed LAPACK yourself, how could the installation process be improved?
would be nice if the testing and verification process is quicker

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

16. What information in the LAPACK guide is hard to find or is missing, if any?
More examples would be nice (more examples for scalapack would be nice as well)

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 90/95

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
Would be nice if there are tools or example to help in setting up the matrix, distributing data, reading/writing the matrix

14. If you have installed ScaLAPACK yourself, how could the installation process be improved?
Installation can be complicated involving BLACS, PBLAS, MPI, interfacing C and Fortran 77/90 compilers. Common problem is 1 versus 2 underscores in symbol names. Perhaps there can be C interface stubs to accomodate both versions.

15. How frequently do you refer to the ScaLAPACK Users Guide?
Frequently

16. What information in the ScaLAPACK guide is hard to find or is missing, if any?
Details in the code such as how the pivot vector is distributed and used, layout of data in distributed band solver, details about the QR factorization.

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux, Unicos

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
Compact storage for scalapack. Out of core extension for scalapack.
6.Additional Comments/Suggestions
Would be nice if the technology in HPL (look ahead, recursive options) can be merged back into PZGETRF/PZGETRS. Currently HPL is only in double in C so double complex is not available. HPL works on rhs but conceptually an extra pass over L should make it compatible with PxGETRF. General symmetric linear solver (LTL') (perhaps in packed storage as well) would be nice. Since performance of PBLAS is crucial for scalapack, it would be nice if there are parameters to tune PBLAS, especially on triangular solvers. More examples or tutorials (like PETSc) to help new users to use scalapack. Better interfaces for scalapack with other iterative linear solvers such as PETSc or Object oriented CCA technology.



Response #6: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Distributed-shared-memory, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
PETSc

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Banded linear systems, General linear systems, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77, Fortran 90/95, R

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
C

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
A consistent interface for the QR routines with pivoting would be most useful. The public version of QR routines seem to fail for one-column matrices.

14. If you have installed ScaLAPACK yourself, how could the installation process be improved?
Definitely can be improved compared to GNU and R packages or even PETSc which requires more work than the other two.

15. How frequently do you refer to the ScaLAPACK Users Guide?
Frequently

16. What information in the ScaLAPACK guide is hard to find or is missing, if any?
A clear and concise definition of the API would be most welcome. The explanations in the comments is commonly found to be confusing among would be user.

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, HP/UX, IRIX, Linux, Unicos

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading


Additional Information

7. Use DOE-lab resourcesYes



Response #7: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Sometimes
d. Complex single precision: Never
e. Complex double precision: Rarely
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100s X 100s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10,000
b. Distributed shared-memory: More than 10,000
c. Distributed memory: More than 10,000

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Vector-computers, Distributed-shared-memory, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Generalized eigenvalue, Symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
netlib's version is less convenient to use since it does not have Makefiles.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C, C++

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
Object orientation

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Unicos, MacOS X

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading




Response #8: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Vector-computers, Distributed-memory, Hybrid-shared, Widely-distributed

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Generalized eigenvalue, Symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
C++ bindings from boost-sandbox

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C++, Fortran 77, Fortran 90/95

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
C++ interfaces

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
see the draft LAPACK bindings of the C++ boost project

14. If you have installed LAPACK yourself, how could the installation process be improved?
use a simple configure script

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
Fortran 90/95

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, BSD, HP/UX, Linux, Unicos

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Multiple

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
Computational condensed matter physics



Response #9: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types:
b. Using optional arguments in the language interface:
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures:

9. Do your applications solve linear algebra problems of the type?
General linear systems, Generalized eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux


Additional Information

7. Use DOE-lab resourcesYes



Response #10: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP:
b. Distributed shared-memory:
c. Distributed memory: More than 1,000

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Vector-computers, Distributed-shared-memory, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Generalized eigenvalue, Symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Very similar in performance provided you use an optimised BLAS

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
Fortran 90/95 interfaces would be more natural Overload so that have one routine name for all data types

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 77

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
Same as LAPACK: F90/95 interfaces, overload GET RID OF BLACS: Use MPI instead Memory for diagonalizers often seems an awful lot, and sometimes stops jobs that I think should run from running.

15. How frequently do you refer to the ScaLAPACK Users Guide?
Frequently

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, IRIX, Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities



Response #11: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Sometimes
e. Complex double precision: Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000,000 or more X 1,000,000 or more

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Distributed-shared-memory, Distributed-memory

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
no

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
Symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Not solving linear algebra

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

7. Use DOE-lab resourcesYes



Response #12: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Very Frequently
e. Complex double precision: Sometimes
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
fftw

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, Generalized eigenvalue, Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Roughly equal, given well optimized BLAS (e.g. Atlas)

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77, Fortran 90/95, Python

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
Numeric Python

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
Better integration with Python

14. If you have installed LAPACK yourself, how could the installation process be improved?
It could not be improved

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

16. What information in the LAPACK guide is hard to find or is missing, if any?
N/A

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
Fortran 77

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using ScaLAPACK?
None, although I'd like some

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
Better interface to Blacs. The redist utils are a great start, but they're poorly documented, and frequently when the system administrators install scalapack they don't even know that they should also build redist.

14. If you have installed ScaLAPACK yourself, how could the installation process be improved?
It's pretty good, although I recall having to go through a lot of configuration tweaking to make it work. Autoconf might help here.

15. How frequently do you refer to the ScaLAPACK Users Guide?
Very Frequently

16. What information in the ScaLAPACK guide is hard to find or is missing, if any?
redist!! Plus, information *about* redistributing matrices with/without the redist utilities. Scalapack is of no use to anyone if people can't get their matrices distributed on the computers.

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Mac OS X

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
Working on density matrix techniques as eigensolver replacements in quantum chemistry. This relies heavily on (sca)lapack.
6.Additional Comments/Suggestions
Lapack is one of the best things that has ever happened to me. Everyone of the lapack workers that I've interacted with has bent over backwards to be helpful. This survey is yet another example of how the lapack people care about being useful to their community. If you ever need someone to write glowing letters of support for grant applications (particularly someone from a US National Lab other than ORNL), don't hesitate to contact me at the address above.
7. Use DOE-lab resourcesYes



Response #13: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100s X 100s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Vector-computers, Distributed-shared-memory, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
scilib

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Generalized eigenvalue, Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

2. If you do not use LAPACK, why?
Cost of learning

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Netlib's version provides the source code, very helpful in porting. I use vendor's LAPACK functions whenever possible.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Cost of learning

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, IRIX, Linux, Unicos, Windows (other)


Additional Information

7. Use DOE-lab resourcesYes



Response #14: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision:

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 100
b. Distributed shared-memory: More than 1,000
c. Distributed memory: More than 1,000

6. Which architectures do you use or intend to use in the next three years?
Vector-computers, Distributed-shared-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
perhaps the 'parallel relatively robust representation' code. It has less memory requirements which favours a small cluster.

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types:
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures:

9. Do your applications solve linear algebra problems of the type?
Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
This depends on the architecture/compiler: The AMD (ACML) libraries perform very well, though interacting with the 'fastsse' options on the portland group compiler can cause rare failures. So most ScaLapack/Lapack libraries are a mixture on 'pre' and 'locally' compiled. At NERSC, linking to the 'essl' library , ( for DGEMM) has proved substantially faster than a user compiled version.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
1. Perhaps an architecture independent diagnostic, that would interrogate a particlur system for different L1 and L2 cache boundaries and suggest optimum matrix size. 2. DGEMM_HALF ... ie knowing my matrix solution will be symmetric in advance,i would like a half matrix multiply that scales as well as a vendor supplied DGEMM.

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 77

14. If you have installed ScaLAPACK yourself, how could the installation process be improved?
It is still not at the 1. configure (compiler inquiries) 2. make 3. make install stage. What would be useful, is a script that searches for dependent libraries and then gives you the option 'Cannot find BLACS library' 1.Enter directory path or 2.Enter a directory path where i can install my own.

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
IRIX, Linux, Solaris, Unicos

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
Electron-impact excitation/ionization of atoms for modelling of fusion diagnostics and experiments. From a computational perspective, it involves the repeated diagonalisation (ie 40-70 times) of symmetric matrices in excess of 50,000 in which ALL eigenvectors and ALL eigenvalues are required. The physics of electron scattering of relativistic targets will drive the size of these matrices upward by at least a factor 5 in coming years. I need efficient I/O and stable diagonalistion. I hope that the next generation of ScaLapack will not be as demanding on memory requirements. Ie. a 40K matrix is the maximum i can diagonalise over 25 opteron processors each with 2 Gb of Ram.



Response #15: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Sometimes
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Vector-computers, Distributed-shared-memory, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
Peigs

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Generalized eigenvalue, Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
No

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 77

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using ScaLAPACK?
Global Arrays

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
64-bit integer arguments are needed (Fortran Integer*8 or C/C++ long long).

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, HP/UX, IRIX, Linux, Solaris, Tru64, Unicos

2a. Please specify any particular libraries of frameworks used?
Global Arrays (that uses System V shared memory)

3a. Please specify any particular libraries of frameworks used?
Global Arrays


Additional Information

5.Description of related activities
Development of the computational chemistry software NWChem http://www.emsl.pnl.gov/docs/nwchem
7. Use DOE-lab resourcesYes



Response #16: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Sometimes
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 10,000

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Symmetric-multi-procs, Vector-computers, Distributed-shared-memory, Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, Generalized eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
I usually try to use the vendor's version first and if it is not available, costs too much, or for some other reason too much work, use Netlib's version next.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77, Fortran 90/95

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
We have built a C++ interface for BLAS and LAPACK that uses the ability to overload arguments and removes the need to encode precision into the name of the method/subroutine. We have also defined the simples possible matrix concept and use generic linear algebar operations that interface to LAPACK and BLAS.

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
Short of doing a full thing with a generic linear algebra library (modeled after blitz++ or MTL), I favor the pragmatic and simple approach I described in item 12.

14. If you have installed LAPACK yourself, how could the installation process be improved?
This is a minor issue: complete the LAPACK implementation in ATLAS so that optimized BLAS and LAPACK can be installed in one package.

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, BSD, Linux, Solaris, Tru64, Unicos, Windows (cygwin), Mac OS X

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Multiple

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

6.Additional Comments/Suggestions
I am currently not using ScaLAPACK but I probably should. I would like to spend some time thinking about how to best integrate with C++. I also would like to discuss is the way to use BLAS and LAPACK from C++ can be standardised. Several people have asked me for help, and I'm offering the interfaces we developed in the psimag toolkit. It would be nice if we could decide on properly suporting one model.
7. Use DOE-lab resourcesYes



Response #17: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Very Frequently
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Very Frequently
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP:
b. Distributed shared-memory:
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Vector-computers, Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Not useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Generalized eigenvalue, Symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Mostly interchangeable. However, on occasion, the flexibility of configuring through ATLAS has been a key enabler.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
None.

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
I actually find the procedural interface as it stands quite natural, but then I'm one of the f77 dinosaurs.

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 77

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using ScaLAPACK?
None.

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
A more extensive, and *universal*, pblas library. Portability of code is of paramount concern (for maintainability), and many of the support routines are not universal, and therefore the underlying distributed data structures need to be deciphered and the necessary functions hand-coded. Very ppu (personal processing unit) time-consuming.

15. How frequently do you refer to the ScaLAPACK Users Guide?
Rarely

16. What information in the ScaLAPACK guide is hard to find or is missing, if any?
Google . Works quite well, actually.

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
BSD, Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

6.Additional Comments/Suggestions
I hope that, whatever changes are made to "modernize" lapack, that they be made in the manner to augment the current basic procedural functionality rather than replace it.
7. Use DOE-lab resourcesYes



Response #18: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory:
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77, Fortran 90/95

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
I usually wrap the f77 calls in f90 shells that allocate workspace memory as required.

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
Automatic memory allocation for temporary/work arrays would be a nice option. I understand why LAPACK does the whole bit about 'leading dimension of array...' but it's awkward and clumsy. Would be nicer to use f90 interfaces that know what shape the array is, or a simple C++ array type that does as well. (But *not* a complicated C++ array type like Blitz supplies; don't make LAPACK itself dependent on anything!)

14. If you have installed LAPACK yourself, how could the installation process be improved?
The testing process is too slow. It's hard to believe the functionality oculdn't be tested with quicker-running problems. Perhaps have the option of the long test if you want it. A typical scenario is that I get onto some new machine and find I have to install LAPACK, then I can kiss productive time goodbye waiting for the tests to run.

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Use another pkg

3. If using another package, which one(s)?
LAPACK

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Windows (cygwin)

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #19: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Vector-computers, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
Arpack

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 90/95

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
There could be a facility to interrupt a Lapack call. This can be very useful in a multithreaded application, or one that makes use of asynchronous communication. I hacked this feature into Lapack3 in a fairly inelegant way. I identified several points in the Lapack code to call an external function, which was part of my application that handled communication events. These points were chosen so they were called fairly often during the course of solving my symmetric eigenvalue problem, but not in inner loops to avoid a performance hit. Because the Lapack functions have no parameters for such a purpose, I used "LDA" as a flag to indicate a situation where I need Lapack to abort the current operation, as opposed to just continuing on where it left off. In my application, this depended on the nature of the communication event.

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Cost of learning

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

6.Additional Comments/Suggestions
In benchmarking my application that needs eigenpairs of a double precision symmetric matrix, I found that some architectures seem to have much greater overhead associated with function calls. In particular, I was comparing the different nodes on cheetah.ccs.ornl.gov that handle batch jobs (p690 1.3ghz) and interactive jobs (p655 1.7 ghz). I found that the speed was worse (factor of 1.8) on the batch node than one would expect by scaling to the difference in clock speed (factor of 1.3). I eventually convinced myself that the difference was caused by a huge number of function calls in inner loops, particularly the functions ROTG and DLARTG (e.g. 7 million calls per call to DSTEQR working with a 3750x3750 matrix). I found two ways to solve the problem. One was to recompile Lapack and my application using the highest optimization level (not recommended by the ORNL support folks because it takes so long for typically little benefit), which allows inlining of functions that exist in different source files. The other way was to put a copies of the ROTG and DLARTG in the source file that was generating so many calls. This allowed a lower optimization level to do the inlining. I don't know if there is any good solution other than recommending the use of a certain optimization level when compiling libraries and applications. Perhaps a preprocessor that would insert copies of functions into source files where they are called in inner loops?



Response #20: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Frequently
e. Complex double precision: Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000,000 or more X 1,000,000 or more

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Symmetric-multi-procs, Distributed-shared-memory, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Generalized eigenvalue, Symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
Fortran 77

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux, Solaris

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
I have been working on parallel sparse solvers such as incomplete factorization preconditioners for iterative methods. In such precondtioners I sometimes exploits dense matrix computation to achieve better performance, but the cost of communication is typically more imprtant for the method of interest.



Response #21: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Rarely
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 1,000

6. Which architectures do you use or intend to use in the next three years?
Symmetric-multi-procs, Vector-computers, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
No

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Symmetric eigenvalue, Non-symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C++

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
#if SP2 #define C2FCALL(x) x #else C2FCALL(x) x##_ #endif

15. How frequently do you refer to the LAPACK Users Guide?
Very Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
No

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
C++

15. How frequently do you refer to the ScaLAPACK Users Guide?
Frequently

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux, Solaris, Unicos, Windows (cygwin), Windows (other)

2a. Please specify any particular libraries of frameworks used?
MPI

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #22: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Sometimes
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Vector-computers, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
IBM ESSL

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, IRIX, Linux, Windows (cygwin)

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

7. Use DOE-lab resourcesYes



Response #23: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Frequently
c. More than double precision: Frequently
d. Complex single precision: Rarely
e. Complex double precision: Frequently
f. Complex, more than double precision: Frequently

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

6. Which architectures do you use or intend to use in the next three years?
Sequential, Symmetric-multi-procs, Distributed-shared-memory, Distributed-memory, Hybrid-shared, Widely-distributed

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
no

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, Generalized eigenvalue, Non-symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
Yes

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C

15. How frequently do you refer to the ScaLAPACK Users Guide?
Rarely

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
IRIX, Linux

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Multiple

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #24: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Frequently
d. Complex single precision: Rarely
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Frequently

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP:
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Generalized eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
Fortran 90/95

15. How frequently do you refer to the ScaLAPACK Users Guide?
Frequently

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

7. Use DOE-lab resourcesYes



Response #25: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Frequently
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Frequently
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 100
b. Distributed shared-memory:
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Symmetric eigenvalue, Non-symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 90/95

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #26: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Rarely
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-shared-memory, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Generalized eigenvalue, Symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Generally more optimized, although I have not separated out the BLAS performance (actually use of vendor LAPACK over reference netlib version is often a matter of convenience when using vendor BLAS).

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77, Fortran 90/95, Python

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 77

15. How frequently do you refer to the ScaLAPACK Users Guide?
Frequently

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #27: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Symmetric-multi-procs, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
no

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Not useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Generalized eigenvalue, Symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
very similar

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C

15. How frequently do you refer to the ScaLAPACK Users Guide?
Very Frequently

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #28: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Very Frequently
b. Double precision: Very Frequently
c. More than double precision:
d. Complex single precision: Very Frequently
e. Complex double precision: Very Frequently
f. Complex, more than double precision:

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Generalized eigenvalue, Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C++, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
Yes

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
C++

14. If you have installed ScaLAPACK yourself, how could the installation process be improved?
It will be very helpful to make the distribution of matrix in columns instead of blocks.

15. How frequently do you refer to the ScaLAPACK Users Guide?
Very Frequently

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Tru64

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #29: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
ARPACK and PARPACK

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Generalized eigenvalue, Non-symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
No real differences.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95

14. If you have installed LAPACK yourself, how could the installation process be improved?
More automatic configuration, and some basic tuning.

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Cost of learning

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading

2a. Please specify any particular libraries of frameworks used?
IBM smp essl

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing

3a. Please specify any particular libraries of frameworks used?
petsc


Additional Information

7. Use DOE-lab resourcesYes



Response #30: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Rarely
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100s X 100s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: More than 1,000
c. Distributed memory: More than 1,000

6. Which architectures do you use or intend to use in the next three years?
Vector-computers, Distributed-shared-memory, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
No

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Banded linear systems, General linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Similar. Usually performance depends on BLAS, for which the Goto BLAS performs on par with vendor BLAS.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
I don't see any obvious/major weakness to the current LAPACK (used under F90).

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

16. What information in the LAPACK guide is hard to find or is missing, if any?
Information about sparse matrices could be better documented.

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics


Additional Information

5.Description of related activities
We make limited use of LAPACK in the GYRO code. The dominant matrix structure is sparse, so for that we use UMFPACK.
6.Additional Comments/Suggestions
Additional sparse/banded matrix routines would be great, but I realize that opens up a new can of worms.



Response #31: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 100
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Distributed-shared-memory, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
ESSL

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

3. If using another package, which one(s)?
PARPACK

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
vendor version is substantially faster.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C++, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C++

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
It is very inconvenient to prepare the data for ScaLAPACK. Should be more natural, at least as natural as lapack.

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
electronic structure calculation
7. Use DOE-lab resourcesYes



Response #32: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Vector-computers, Distributed-shared-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Least-square problems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
Matlab

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95, Matlab

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Not solving linear algebra

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Multiple

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #33: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP:
b. Distributed shared-memory:
c. Distributed memory: More than 1,000

6. Which architectures do you use or intend to use in the next three years?
Distributed-memory

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
BLAS of course

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Vendor supplied typically factor 2 faster.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
Fortran 90/95

15. How frequently do you refer to the ScaLAPACK Users Guide?
Rarely

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Solaris

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #34: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision:
b. Double precision: Very Frequently
c. More than double precision:
d. Complex single precision:
e. Complex double precision:
f. Complex, more than double precision:

3. What dense matrix sizes are most important or time-consuming for your application?
1,000,000 or more

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 100
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures:

9. Do your applications solve linear algebra problems of the type?
General linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
No

2. If you do not use LAPACK, why?
Use another pkg

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

ScaLAPACK Usage

2. If you do not use ScaLAPACK, why?
Use another pkg

6. Do your applications make direct ScaLAPACK calls?
No

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Solaris

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Concurrent programs

3a. Please specify any particular libraries of frameworks used?
I need PVM.


Additional Information

6.Additional Comments/Suggestions
Could you please install PVM? I really need that for my research. Thank you very much!



Response #35: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Sometimes
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10s X 10s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 1,000

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-memory

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
PLAPACK

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
No

2. If you do not use LAPACK, why?
Use another pkg

3. If using another package, which one(s)?
PLAPACK

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

15. How frequently do you refer to the LAPACK Users Guide?
Never

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Use another pkg

3. If using another package, which one(s)?
PLAPACK

6. Do your applications make direct ScaLAPACK calls?
No

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, BSD, HP/UX, IRIX, Linux, Solaris, Windows (cygwin), Windows (other)

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #36: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Frequently
d. Complex single precision: Rarely
e. Complex double precision: Sometimes
f. Complex, more than double precision: Sometimes

3. What dense matrix sizes are most important or time-consuming for your application?
100s X 100s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory:
c. Distributed memory:

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
SciPy

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77, Python

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
I mostly use lapack via Scipy, and I find the wrapped interface satisfactory. I'm sure it could be improved, but I have never felt that part to be a development bottleneck for me.

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Not solving linear algebra

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux


Additional Information




Response #37: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Sometimes
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
no

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Other

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
wraper routines that dynamically allocate the work spaces

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
- removing the work spaces - call-by-value interfaces for C

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C

15. How frequently do you refer to the ScaLAPACK Users Guide?
Frequently

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
Reseach on Computational Condensed Matter Physics.



Response #38: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Rarely
e. Complex double precision: Sometimes
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 1,000

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Vector-computers, Distributed-shared-memory, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
linpack

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Not useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, Generalized eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
well.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77, Fortran 90/95, tcl

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, BSD, IRIX, Linux, Solaris, Unicos, Windows (other)

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Multiple


Additional Information

6.Additional Comments/Suggestions
general question 8 is a bit unclearly stated.
7. Use DOE-lab resourcesYes



Response #39: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Very Frequently
b. Double precision: Very Frequently
c. More than double precision: Frequently
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Generalized eigenvalue, Symmetric eigenvalue, Non-symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #40: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Frequently
b. Double precision: Frequently
c. More than double precision:
d. Complex single precision:
e. Complex double precision: Frequently
f. Complex, more than double precision:

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP:
b. Distributed shared-memory:
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Distributed-memory

9. Do your applications solve linear algebra problems of the type?
Generalized eigenvalue, Non-symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Vendor faster but Vendor is incomplete or undefined API (Lapack 1? 2? 3?)

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
R

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77, Fortran 90/95

14. If you have installed LAPACK yourself, how could the installation process be improved?
Place in autoconfig construct as a package in itself Place in autoconfig construct with scalapack, lapack, blas ./configure --with[out]-(scalapack,lapack,blas) --with-blas=ibm_essl

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics


Additional Information

7. Use DOE-lab resourcesYes



Response #41: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Frequently
c. More than double precision: Very Frequently
d. Complex single precision:
e. Complex double precision:
f. Complex, more than double precision:

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Not useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

11. From which languages do you call LAPACK routines?
Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Use another pkg

3. If using another package, which one(s)?
SuperLU

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

7. Use DOE-lab resourcesYes



Response #42: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision:
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100s X 100s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: More than 100
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Symmetric-multi-procs

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C++

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
Make a C++ framework for it so I don't have to write my own.

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
HP/UX, Windows (other)


Additional Information




Response #43: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory:
c. Distributed memory:

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Vector-computers

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
General linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
On Opterons with Portland group compilers under Linux, Netlib version is at least order of magnitude worse. It's useful for testing on a PC though.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Unicos, Windows (other)

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Concurrent programs

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #44: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Rarely
c. More than double precision: Rarely
d. Complex single precision: Rarely
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 1,000

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Vector-computers, Distributed-shared-memory, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
General linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Presume vendor version provides better performance.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

11. From which languages do you call LAPACK routines?
Fortran 77

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 77

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux, Unicos, xt3 catamount

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing

3a. Please specify any particular libraries of frameworks used?
Direct calls to the BLACS


Additional Information

7. Use DOE-lab resourcesYes



Response #45: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Rarely
e. Complex double precision: Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10s X 10s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Vector-computers, Distributed-shared-memory, Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C++, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Not solving linear algebra

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Unicos/mp

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Multiple




Response #46: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Rarely
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Distributed-memory

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
PLAPACK

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Not useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
I use MKL on Windows machines and ATLAS on Linux machines. Both perform better than reference implementations.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
Matlab, PETSc

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Matlab

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
I typically write "wrapper functions" that call LAPACK while hiding many of its arguments from the nonlinear solver or optimization solver. When using C++, these functions inherit the interface from an abstract matrix class.

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
Some examples that call LAPACK from C would be helpful.

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

16. What information in the LAPACK guide is hard to find or is missing, if any?
Performance information is difficult to find. For instance, it took me a while to confirm my observation that the Cholesky factorization using packed symmetric format were much slower than Cholesky factorizations using full dense format.

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

3. If using another package, which one(s)?
PLAPACK

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using ScaLAPACK?
I typically write "wrapper functions" that call LAPACK while hiding many of its arguments from the nonlinear solver or optimization solver.

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
Some examples that call ScaLAPACK from C would be helpful.

15. How frequently do you refer to the ScaLAPACK Users Guide?
Rarely

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Windows (cygwin), Windows (other)

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing

3a. Please specify any particular libraries of frameworks used?
MPI


Additional Information

5.Description of related activities
Numical optimization solvers that I develop and distribute target applications nonlinear and semidefinite programming. I use LAPACK to factor dense matrices that are usually the Schur complements of much larger indefinite matrices. Parallel versions of these solvers use ScaLAPACK. Users of our software must also link to these packages.
6.Additional Comments/Suggestions
The most frequent difficulty that my users encounter while linking their application to my optimization solvers and LAPACK involves language interoperability. Despite our best efforts to help them configure things properly, calling the Fortran routines from C or C++ continues to frustrate users who are uninterested in these subtleties of computer science. I would also like to see the BLAS1 include y = alpha y + x, w = alpha x + beta y, and BLAS2 include alphs = x' A x where x is a column vector and A is a symmetric matrix.
7. Use DOE-lab resourcesYes



Response #47: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Sometimes
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Sometimes

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Vector-computers, Distributed-shared-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Generalized eigenvalue, Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 90/95

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
I hate to call the routine sometimes with underscore on some systems like linux.

14. If you have installed LAPACK yourself, how could the installation process be improved?
If you can have binary version for all the systems, it will be great.

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C

15. How frequently do you refer to the ScaLAPACK Users Guide?
Frequently

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, IRIX, Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #48: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Sometimes
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 1,000
b. Distributed shared-memory: More than 1,000
c. Distributed memory: More than 1,000

6. Which architectures do you use or intend to use in the next three years?
Vector-computers, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
no

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
General linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 77

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

7. Use DOE-lab resourcesYes



Response #49: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision:
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision:
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory:

6. Which architectures do you use or intend to use in the next three years?
Sequential, Vector-computers, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
no

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Non-symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95

14. If you have installed LAPACK yourself, how could the installation process be improved?
not much, current method is fairly straightforward

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Not solving linear algebra

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux, Mac OSX

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Components

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
Computational nuclear theory (static Hartree-Fock, time-dependent Hartree-Fock, Hartree-Fock-Bogoliubov, Dirac equation, ...)
6.Additional Comments/Suggestions
First of all, many thanks for developing LAPACK. It is very important to our group (computational nuclear theory). It would be nice to get a genuine Fortran 95 /2003 LAPACK library WITHOUT interface calls to Fortran 77 version of LAPACK.



Response #50: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Generalized eigenvalue, Symmetric eigenvalue, Non-symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77, Fortran 90/95

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
Should have automatic workspace allocation, and would be very useful to have a "higher level" interface that, given the sort of problem to solve (e. g. symmetric eigenvalue problem) detects the type of data and the structure of the matrix, so that the user does not have to rewrite large portions of code while trying different algorithms and modifiying existing code (e.g. when the underlying data changes from real to complex).

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Cost of learning

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux, Tru64, Windows (cygwin)

2a. Please specify any particular libraries of frameworks used?
openmp

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #51: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Rarely
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 100
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Symmetric-multi-procs, Distributed-shared-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Not useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Generalized eigenvalue, Symmetric eigenvalue, Least-square problems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Very Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
Fortran 77

15. How frequently do you refer to the ScaLAPACK Users Guide?
Very Frequently

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, HP/UX, Linux, Solaris, Tru64

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #52: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Frequently
b. Double precision: Very Frequently
c. More than double precision: Frequently
d. Complex single precision: Sometimes
e. Complex double precision:
f. Complex, more than double precision: Frequently

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 1,000
c. Distributed memory:

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Distributed-shared-memory

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
Paradiso

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Banded linear systems, General linear systems, Least-square problems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C++, Fortran 77, Fortran 90/95

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

11. From which languages do you call ScaLAPACK routines?
C

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Multiple

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #53: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Symmetric eigenvalue, Non-symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
Fortran 77

15. How frequently do you refer to the ScaLAPACK Users Guide?
Rarely

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #54: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Frequently
c. More than double precision: Never
d. Complex single precision: Sometimes
e. Complex double precision: Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 10s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 1,000

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Symmetric-multi-procs, Vector-computers, Distributed-memory

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
some OpenMP blas

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Generalized eigenvalue, Symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
the intel MKL libaries are much easier to use than ATLAS and LAPACK. despite what others say, I do not find ATLAS to be much faster than MKL blas (perhaps the difference is not suffient to motivate me to change).

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C++, Fortran 90/95

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
automatic interface.

14. If you have installed LAPACK yourself, how could the installation process be improved?
I have not done this recently. Several years ago, I had difficutly using the compiler that came with my linux distribution (I think either atlas or lapack required an older version).

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

16. What information in the LAPACK guide is hard to find or is missing, if any?
Information is not missing; however, it can be difficult to find on netlib, and more examples are needed. Some time the documentation is difficult to understand (you can't assume that even the most hard core of us know the nomenclature).

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
Fortran 90/95

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
The required data layout was quite diffcult to implement.

15. How frequently do you refer to the ScaLAPACK Users Guide?
Rarely

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Tru64, Unicos

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

6.Additional Comments/Suggestions
Thank you for your work on: lapack atlas scalapack pblas...



Response #55: 2005-08-09

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Frequently
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Distributed-memory

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
no

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Non-symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

2. If you do not use LAPACK, why?
Use another pkg

3. If using another package, which one(s)?
matlab

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Other

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
matlab

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Use another pkg

6. Do your applications make direct ScaLAPACK calls?
No

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?
Never

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Solaris, Windows (cygwin)




Response #56: 2005-08-10

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Vector-computers, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Symmetric eigenvalue, Least-square problems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Never

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, BSD, HP/UX, Linux, OS X

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Multiple

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #57: 2005-08-10

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Frequently
d. Complex single precision: Sometimes
e. Complex double precision: Sometimes
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, Least-square problems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Vendor's usually does a better job of using cache

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
HP/UX, Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #58: 2005-08-10

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10s X 10s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-shared-memory, Widely-distributed

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Not useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
numarray

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C, Python

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
In my C codes, I always have to make a wrapper to hold dummy integers, etc. for the options I don't use.

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
It would be nice to have multiple c wrappers for LAPACK that can customize calls to many-option functions.

14. If you have installed LAPACK yourself, how could the installation process be improved?
Does it use GNU autoconf and automake?

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

16. What information in the LAPACK guide is hard to find or is missing, if any?
It is difficult to find the names of the high-level functions.

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Not solving linear algebra

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
BSD, Linux, Windows (cygwin)

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Concurrent programs

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
function parameter fitting principle component analysis structural superposition
6.Additional Comments/Suggestions
thank you



Response #59: 2005-08-10

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
1,000,000 or more

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 100
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Distributed-shared-memory, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
ESSL, NAG

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Prefer vendor's version.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
Definitely oppose to any f90 interface. f77/C as is makes it very easy to use with any applications.

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
The same: f77/C interfaces are sufficient.

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux, Windows (cygwin), MAC OS X

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Multiple

2a. Please specify any particular libraries of frameworks used?
OpenMP

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing

3a. Please specify any particular libraries of frameworks used?
MPI


Additional Information

5.Description of related activities
Condensed matter theory; scientific code developments
7. Use DOE-lab resourcesYes



Response #60: 2005-08-10

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 100s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-shared-memory, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
No

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
Some Matlab routines

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77, Matlab

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, IRIX, Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #61: 2005-08-10

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Sometimes
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Sequential, Vector-computers, Distributed-shared-memory, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
no

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
Fortran 90/95

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, BSD, IRIX

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Multiple

2a. Please specify any particular libraries of frameworks used?
openmp

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #62: 2005-08-10

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Vector-computers, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Symmetric eigenvalue, Non-symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77, Fortran 90/95

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
Compact wrappers

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
Simple consistent interface such as outputs first, followed by inputs.

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, BSD, Linux, Windows (cygwin), Windows (other)

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
quantum chemistry code development (q-chem program)



Response #63: 2005-08-11

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Sometimes
d. Complex single precision: Sometimes
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Sometimes

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Generalized eigenvalue, Symmetric eigenvalue, Least-square problems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C++, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Cost of learning

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #64: 2005-08-11

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Frequently
b. Double precision: Frequently
c. More than double precision: Rarely
d. Complex single precision: Frequently
e. Complex double precision: Sometimes
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
1,000,000 or more

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 100
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Vector-computers, Distributed-shared-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
Yes

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space:
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Generalized eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

16. What information in the LAPACK guide is hard to find or is missing, if any?
I would like to see a list of NAG routines which have corresponding LAPACK equivalents.

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C

15. How frequently do you refer to the ScaLAPACK Users Guide?
Frequently

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Unicos

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

7. Use DOE-lab resourcesYes



Response #65: 2005-08-11

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-shared-memory, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
ESSL

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 90/95

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
sparse routines and search routines have been written.

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux


Additional Information

6.Additional Comments/Suggestions
Lapack needs sparse linear algebra routines and search/sort routines.



Response #66: 2005-08-11

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

6. Which architectures do you use or intend to use in the next three years?
Sequential, Symmetric-multi-procs, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Generalized eigenvalue, Least-square problems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
I have run them on different architectures and so have not had the opportunity to do a very direct comparison.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 90/95

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using ScaLAPACK?
None

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
HP/UX, Linux, Tru64

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing

3a. Please specify any particular libraries of frameworks used?
HDF5




Response #67: 2005-08-11

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Frequently
b. Double precision: Frequently
c. More than double precision: Frequently
d. Complex single precision: Frequently
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Frequently

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP:
b. Distributed shared-memory:
c. Distributed memory: More than 1,000

6. Which architectures do you use or intend to use in the next three years?
Vector-computers, Distributed-shared-memory, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
No

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, IRIX, Linux, Tru64, Unicos

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #68: 2005-08-11

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 1,000

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Vector-computers, Distributed-memory, Hybrid-shared, Widely-distributed

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Not useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, HP/UX, Linux, Tru64, Unicos




Response #69: 2005-08-11

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Sometimes
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000,000 or more X 1,000,000 or more

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP:
b. Distributed shared-memory: More than 10
c. Distributed memory:

6. Which architectures do you use or intend to use in the next three years?
Distributed-shared-memory

9. Do your applications solve linear algebra problems of the type?
General linear systems, Generalized eigenvalue, Non-symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C++

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

11. From which languages do you call ScaLAPACK routines?
C++

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
IRIX, Linux, Windows (cygwin), Windows (other)

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading


Additional Information




Response #70: 2005-08-11

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP:
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Distributed-shared-memory, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
No

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Not useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 90/95

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using ScaLAPACK?
MPI

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
1) There should be a functional call to generate a global matrix descriptor using either a BLACS context or an MPI communicator. 2) Another function should generate a BLACS gridmap from an MPI communicator and vice versa. 3) Maybe the BLACS context should be taken out of the global matrix descriptor

14. If you have installed ScaLAPACK yourself, how could the installation process be improved?
The distribution should contain BLACS.

15. How frequently do you refer to the ScaLAPACK Users Guide?
Frequently

16. What information in the ScaLAPACK guide is hard to find or is missing, if any?
How to simultaneously call different Scalapack functions using disjoint packs of processors.

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, IRIX, Linux, Tru64

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #71: 2005-08-11

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Rarely
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Vector-computers, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
ESSL

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

3. If using another package, which one(s)?
ESSL

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Never compared.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 90/95

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using ScaLAPACK?
We often diagonize matrices about the size of 1000~10000, or even larger. Storage of the matrices (and the eigenvectors after the diagonization) are usually splitted by stripes of the matrices. Before calling ScaLAPACK we have to transform the stripe distribution to the block cyclic distribution, and back transform from BCD to the stripe distribution after diagonization. Is it possible for ScaLAPACK to make these processes automatic?

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, IRIX, Linux, Solaris, Tru64, Unicos, Windows (other)

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
We are an Electronic Structure Physics group of Northwestern University engaging in the numerical calculations and simulations of materials.



Response #72: 2005-08-11

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Sometimes
c. More than double precision: Very Frequently
d. Complex single precision: Rarely
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
100s X 100s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
no

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
give full C or C++ version of lapack

14. If you have installed LAPACK yourself, how could the installation process be improved?
rpm, if possible

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

16. What information in the LAPACK guide is hard to find or is missing, if any?
it's so hard to read, i would like to see examples.

ScaLAPACK Usage

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics




Response #73: 2005-08-11

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Very Frequently
b. Double precision: Frequently
c. More than double precision: Rarely
d. Complex single precision: Very Frequently
e. Complex double precision: Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Distributed-shared-memory

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
ARPACK, BLZPACK

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Generalized eigenvalue, Symmetric eigenvalue, Non-symmetric eigenvalue

LAPACK Usage

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Cost of learning

11. From which languages do you call ScaLAPACK routines?
Fortran 77

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Windows (cygwin)


Additional Information




Response #74: 2005-08-11

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Frequently
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Frequently
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 100
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Symmetric-multi-procs, Distributed-shared-memory, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C, C++, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
C

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
IRIX, Linux

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading


Additional Information

5.Description of related activities
Computational Electromagnetics



Response #75: 2005-08-12

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Very Frequently
b. Double precision: Frequently
c. More than double precision: Never
d. Complex single precision: Sometimes
e. Complex double precision: Sometimes
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100s X 100s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Vector-computers

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, Generalized eigenvalue, Symmetric eigenvalue, Non-symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Use another pkg

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics




Response #76: 2005-08-12

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Sometimes

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP:
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Sequential, Vector-computers, Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Non-symmetric eigenvalue, general complex inverse and determinant

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

16. What information in the LAPACK guide is hard to find or is missing, if any?
Sometimes hard to find the right function name for a given computation.

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
Fortran 77

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
It is hard to sort out precisely how to split up and send a matrix to different processors. For example, in a situation where the matrix can be stored on one node, but ScaLapack is being used for speed-up of the linear algebra operations, there is no simple way to send the matrix to the nodes, perform the computation and get the matrix sent back. Having a routine to do that would be very useful, especially if it would automatically determine the optimal number of processors for the ScaLapack routines.

15. How frequently do you refer to the ScaLAPACK Users Guide?
Rarely

16. What information in the ScaLAPACK guide is hard to find or is missing, if any?
Hard to sort out how to generate/store matrices on the different nodes.

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Unicos

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

6.Additional Comments/Suggestions
Currently I am working with a vectorization specialist at a supercomputer center to try to port ScaLapack to my codes. The learning curve for getting it running seems to be fairly significant. Our major bottleneck is communications between nodes to set-up the original matrix and to get the results once the calculation is completed. It doesn't seem like this should be so difficult to handle, but we are unable to improve upon it at the moment. Being able to use ScaLapack in the same user friendly way as Lapack is used would be a great advance. It currently doesn't seem to be there.



Response #77: 2005-08-12

General

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Rarely
e. Complex double precision: Sometimes
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Distributed-shared-memory, Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Have not compared. Usually I have used the vendor's version assuming they had optimized blas, and maybe lapack. I also assume the vendor is more knwoledgeable (and has more time) to experiment with the different compiler options. Have not actually verified my assumptions, I could be wrong.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Not solving linear algebra

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #78: 2005-08-12

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Rarely
f. Complex, more than double precision: Never

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory:
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Distributed-shared-memory, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
Banded linear systems, Symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Not solving linear algebra

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
IRIX, Linux, Solaris

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #79: 2005-08-12

General

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-shared-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 77

15. How frequently do you refer to the ScaLAPACK Users Guide?
Rarely

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #80: 2005-08-12

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Rarely
e. Complex double precision: Rarely
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Symmetric eigenvalue, SVDs, sparse matrices

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

2. If you do not use LAPACK, why?
Cost of learning

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
matlab

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C++, Matlab

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

2. If you do not use ScaLAPACK, why?
Cost of learning

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
C++

15. How frequently do you refer to the ScaLAPACK Users Guide?
Very Frequently

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Mac OS X, Windows (cygwin), Windows (other)

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #81: 2005-08-12

General

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision:
b. Double precision: Very Frequently
c. More than double precision: Very Frequently
d. Complex single precision:
e. Complex double precision:
f. Complex, more than double precision:

3. What dense matrix sizes are most important or time-consuming for your application?
10s X 10s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Distributed-memory, Hybrid-shared, Widely-distributed

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Not useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Least-square problems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib, Other

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Vendor's version somewhat faster

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
the matrix template library (MTL)

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C++

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
generic programming would make lapack more accessible from C++

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Not solving linear algebra

6. Do your applications make direct ScaLAPACK calls?
No

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux, Mac OS X, Solaris, Tru64, Windows (other)

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading

3a. Please specify any particular libraries of frameworks used?
mobile object library, Clam (from William and Mary)




Response #82: 2005-08-14

General

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Frequently
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
Matlab

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77, Fortran 90/95, Matlab, Octave

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Solaris, Windows (cygwin), Windows (other)




Response #83: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Frequently
c. More than double precision: Never
d. Complex single precision: Sometimes
e. Complex double precision: Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory:

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Symmetric complex

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
No

2. If you do not use LAPACK, why?
Not solving linear algebra

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Not solving linear algebra

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux, Mac OS X, Solaris

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #84: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Frequently
d. Complex single precision: Sometimes
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Frequently

3. What dense matrix sizes are most important or time-consuming for your application?
100s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: More than 100
b. Distributed shared-memory: More than 1,000
c. Distributed memory: More than 10,000

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Vector-computers, Distributed-shared-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Generalized eigenvalue, Least-square problems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
No

2. If you do not use LAPACK, why?
Cost of learning

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C, C++

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Cost of learning

6. Do your applications make direct ScaLAPACK calls?
No

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
C

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, BSD, HP/UX, IRIX, Linux, Mac OS X, Solaris, Windows (cygwin)

2a. Please specify any particular libraries of frameworks used?
BRL-CAD




Response #85: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision:
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Distributed-memory, Widely-distributed

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, Symmetric eigenvalue, Non-symmetric eigenvalue, complex symmetric linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

9. If you answered yes above, which higher-level interfaces do you use?
matlab

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95, Matlab

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Not solving linear algebra

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Multiple




Response #86: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision:
b. Double precision: Very Frequently
c. More than double precision:
d. Complex single precision:
e. Complex double precision: Sometimes
f. Complex, more than double precision:

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory:
c. Distributed memory:

6. Which architectures do you use or intend to use in the next three years?
Symmetric-multi-procs

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95, Fortran 2003, Matlab, Octave

14. If you have installed LAPACK yourself, how could the installation process be improved?
it's simple enough

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux


Additional Information

5.Description of related activities
quadratic and nonlinear programming



Response #87: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Very Frequently
b. Double precision: Frequently
c. More than double precision: Rarely
d. Complex single precision: Rarely
e. Complex double precision: Rarely
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 100s

4. Does your application come close to, or run out of memory on important problems?
No

6. Which architectures do you use or intend to use in the next three years?
Sequential

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
Compact Numerical Methods / Pascal

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space:
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
R

11. From which languages do you call LAPACK routines?
R

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Windows (other)

2a. Please specify any particular libraries of frameworks used?
R and R contributed


Additional Information

5.Description of related activities
statistical computations



Response #88: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Sometimes
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Sometimes

3. What dense matrix sizes are most important or time-consuming for your application?
100s X 100s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Symmetric eigenvalue, Non-symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
BSD




Response #89: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, Symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C++

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
Class wrappers in C++

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
More comprehensive wrapper interface for C++ that does not sacrifice performance (e.g. user keeps control over memory allocation)

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Mac OS X, Windows (other)

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Concurrent programs


Additional Information

5.Description of related activities
Research on statistical machine learning.



Response #90: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP:
b. Distributed shared-memory:
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C++, Python, Octave

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Use another pkg

3. If using another package, which one(s)?
PETSc

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
Finite Element methods in CFD. http://www.cimec.org.ar/petscfem



Response #91: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Rarely
e. Complex double precision: Frequently
f. Complex, more than double precision:

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory:
c. Distributed memory:

6. Which architectures do you use or intend to use in the next three years?
Sequential, Symmetric-multi-procs, Distributed-memory

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib, Other

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #92: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Never
e. Complex double precision: Rarely
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Vector-computers, Distributed-shared-memory, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
LAPACK90

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
Fortran 90/95/2003 interfaces should become standard.

14. If you have installed LAPACK yourself, how could the installation process be improved?
LAPACK always seem to compile fine, but testing routines often fail for non-obvious reasons.

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Use another pkg

3. If using another package, which one(s)?
LAPACK -- matrices are local to node

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 90/95

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, IRIX, Linux, Unicos

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Multiple


Additional Information

5.Description of related activities
Numerical methods for Atmospheric Dynamics
6.Additional Comments/Suggestions
We at the Seminar for Applied Mathematics at the ETH Zurich are entrenched LAPACK fans! Thanks for the great work. Keep it up!



Response #93: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Frequently
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Frequently
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib, Other

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
SciPy/Python, Boost ublas-lapack

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C++, Fortran 77, Fortran 90/95, Python

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
boost python bindings f2py

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

11. From which languages do you call ScaLAPACK routines?
C++

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using ScaLAPACK?
boost python bindings

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #94: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision:
b. Double precision: Very Frequently
c. More than double precision:
d. Complex single precision:
e. Complex double precision: Very Frequently
f. Complex, more than double precision:

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 100
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, Symmetric eigenvalue, Non-symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
python

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Python

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Mac OS X




Response #95: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Never
e. Complex double precision: Rarely
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Generalized eigenvalue, Symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Matlab

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Not solving linear algebra

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Windows (other)




Response #96: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Sometimes
d. Complex single precision: Rarely
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Sometimes

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory:
c. Distributed memory:

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Distributed-memory, Hybrid-shared

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Symmetric eigenvalue, Non-symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C, C++

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
C/C++ wrappers

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
Provision of standard C/C++ wrappers

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Concurrent programs

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #97: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Sometimes
d. Complex single precision: Sometimes
e. Complex double precision: Sometimes
f. Complex, more than double precision: Sometimes

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 1,000,000 or more

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Symmetric-multi-procs, Distributed-shared-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, Symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
matlab

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77, Fortran 90/95, Matlab

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Solaris, Windows (other)


Additional Information




Response #98: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Rarely
e. Complex double precision: Sometimes
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-shared-memory, Distributed-memory, Hybrid-shared, Widely-distributed

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
BLAS

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
Fortran 90/95

15. How frequently do you refer to the ScaLAPACK Users Guide?
Rarely

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, IRIX, Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #99: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Rarely
e. Complex double precision: Rarely
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Distributed-memory, Widely-distributed

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
Lee Samuel Finn

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, Symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
matlab

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Matlab

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Mac OS X


Additional Information

5.Description of related activities
Time series data analysis; deconvolution
6.Additional Comments/Suggestions
Re ScaLAPACK: while I am not now using it my need for the functionality it provides has risen sharply in the last several months and I expect I will be diving in to it soon. I expect to use it via a matlab interface and will need to locate a suitable interface or roll my own.



Response #100: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory:
c. Distributed memory:

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Symmetric-multi-procs

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Symmetric eigenvalue, Non-symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
Matlab

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C++, Matlab

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Use another pkg

3. If using another package, which one(s)?
Matlab

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Windows (other)


Additional Information




Response #101: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Very Frequently
b. Double precision: Very Frequently
c. More than double precision: Very Frequently
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Symmetric eigenvalue, Non-symmetric eigenvalue, Least-square problems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

11. From which languages do you call LAPACK routines?
C, C++, Java, Matlab

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Cost of learning

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Windows (cygwin), Windows (other), MS Visual C++




Response #102: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Rarely
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000,000 or more X 100s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-memory, Widely-distributed

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Generalized eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95

14. If you have installed LAPACK yourself, how could the installation process be improved?
1. I always compile and create the libraries manually. Provide a script or makefile that does just that. The official installation process is confusing and gets stuck. 2. provide standard ./configure make make install but make sure it actually works on (nearly) everything

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
No

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
writing our own

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
Fortran 77

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using ScaLAPACK?
own layer

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
object oriented

14. If you have installed ScaLAPACK yourself, how could the installation process be improved?
The installation is TERRIBLE beyond description and requires major work. Test it on a variety of machines before release!! And with various installations of MPI on the same machine! There is a mixture of "mpi.h" and in BLACS that makes installation fail if there is /usr/include/mpi.h which is different then specified in Bmake.inc Please provide standard ./configure make make install

15. How frequently do you refer to the ScaLAPACK Users Guide?
Very Frequently

16. What information in the ScaLAPACK guide is hard to find or is missing, if any?
The online guide is extremely confusing. For example the critical information that all matrices in operation must have same processor grid is not there. The comments in source are cryptic. It is unclear what is input and what is output.

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Solaris, Windows (cygwin), Windows (other)

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #103: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Cost of learning

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading


Additional Information




Response #104: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision:
c. More than double precision: Rarely
d. Complex single precision: Sometimes
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 1,000,000 or more

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 1,000

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-memory, Widely-distributed

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
super_lu_dist, petsc

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Least-square problems, SVDs, cholesky updating

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using ScaLAPACK?
na

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
na

14. If you have installed ScaLAPACK yourself, how could the installation process be improved?
na

15. How frequently do you refer to the ScaLAPACK Users Guide?
Frequently

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
IRIX, Linux, Mac OS X

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Concurrent programs

2a. Please specify any particular libraries of frameworks used?
mpi using shared memory for shared objects

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

6.Additional Comments/Suggestions
Online lapack, scalapack guides are useful, most of the time, I just google the routine I need cholesky update missing in scalapack large (banded) matrices require huge memory for linear solution. superlu_dist is nice and should be incorporated petsc is nice and should be better incorporated



Response #105: 2005-08-14

General

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Frequently
b. Double precision: Very Frequently
c. More than double precision: Sometimes
d. Complex single precision: Sometimes
e. Complex double precision: Sometimes
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Distributed-memory

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
NAG

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Banded linear systems, Generalized eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Other

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Cost of learning

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Windows (cygwin)

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
Numerical simulation of reactive flows (CFD and Bifurcation Theory)



Response #106: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Rarely
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory:
c. Distributed memory:

6. Which architectures do you use or intend to use in the next three years?
Sequential, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 77

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Mac OS X, Tru64

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #107: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Sometimes
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 1,000

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-memory, Widely-distributed

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Banded linear systems, General linear systems, Generalized eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Vendor version is more convenient and sometimes optimized. However, my main reason for using a vendor supplied version is convenience in the cases where I don't need portability.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
IRIX, Linux, Windows (cygwin)

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #108: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Very Frequently
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Widely-distributed

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Generalized eigenvalue, Non-symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
Matlab

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C, C++, Matlab

15. How frequently do you refer to the LAPACK Users Guide?
Very Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
BSD, Linux, Solaris, Windows (cygwin), Windows (other)




Response #109: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Sometimes
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-memory

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
IBM's ESSL

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Generalized eigenvalue, Symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77

14. If you have installed LAPACK yourself, how could the installation process be improved?
The LAPACK installation process itself isn't bad once you've done it a few times. What would be really nice is if it followed the GNU style "./configure ; make ; make check ; make install" sequence. I install tons of software for the team I support and reallly appreciate those tools that use familiar and consistent configure scripts & build env variables (CFLAGS, etc). Another pain--and this isn't LAPACK's fault--is building an ATLAS-enhanced LAPACK. Sure, it is easy once you've done it a few times but the process is really non-standard.

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, HP/UX, IRIX, Linux, Solaris, Windows (cygwin)

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Concurrent programs

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing

3a. Please specify any particular libraries of frameworks used?
communication over Unix sockets


Additional Information

6.Additional Comments/Suggestions
Few people seem to know this trick: if one has matlab installed on a system, one can link to the MathWorks-provided lapack libraries (called something like libmwlapack.a) which are highly tuned for a given architecture. Some operations are 3x faster than building lapack from source with the highest optimizations. I don't know if the MathWorks discourages its customers from doing this but this kind of tip in my opinion belongs in a lapack FAQ or related document.



Response #110: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Sometimes
d. Complex single precision: Sometimes
e. Complex double precision: Frequently
f. Complex, more than double precision: Sometimes

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Distributed-shared-memory, Distributed-memory, Hybrid-shared, Widely-distributed

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, Generalized eigenvalue, Symmetric eigenvalue, Non-symmetric eigenvalue, Least-square problems, SVDs, Linear indefinite systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Sometimes the vender version better performs.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
Matlab, Lapack95

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95, Matlab

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
The symmetric packed routines should be improved.

14. If you have installed LAPACK yourself, how could the installation process be improved?
It is ok.

15. How frequently do you refer to the LAPACK Users Guide?
Very Frequently

16. What information in the LAPACK guide is hard to find or is missing, if any?
It is ok.

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 90/95

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
The symmetric packed

14. If you have installed ScaLAPACK yourself, how could the installation process be improved?
ok

15. How frequently do you refer to the ScaLAPACK Users Guide?
Frequently

16. What information in the ScaLAPACK guide is hard to find or is missing, if any?
Ok.

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, HP/UX, IRIX, Linux, Solaris

2a. Please specify any particular libraries of frameworks used?
essl, sunperf, sgimath

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
Library routine development, User collaborations (consultant work)



Response #111: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Distributed-shared-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Similar - Netlib self compiled version is often as good as/better than vendor supplied versions

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, IRIX, Linux

2a. Please specify any particular libraries of frameworks used?
OMP


Additional Information




Response #112: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Very Frequently
b. Double precision: Very Frequently
c. More than double precision: Sometimes
d. Complex single precision: Rarely
e. Complex double precision: Rarely
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
1,000,000 or more X 1,000,000 or more

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-memory, Hybrid-shared, Widely-distributed

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Similar

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77, Fortran 90/95, Octave

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux, Mac OS X




Response #113: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Frequently
b. Double precision: Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 100
c. Distributed memory:

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Vector-computers, Distributed-memory, Widely-distributed

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
Matlab

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Matlab

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C++

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Windows (other)

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #114: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Sometimes
d. Complex single precision: Never
e. Complex double precision: Sometimes
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-shared-memory, Distributed-memory, Widely-distributed

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Symmetric eigenvalue, Least-square problems, Symmetric indefinite [G A; A' 0] strucutre

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Other

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
Matlab, NAG

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95, Matlab

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 90/95

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
IRIX, Linux, Tru64


Additional Information

5.Description of related activities
Optimization, approximation and cubature, distribution of points on manifolds, mathematical finance
6.Additional Comments/Suggestions
Calculation of gradient information of objectives involving log det of matrix valued function and constraints involving solution of linear system are much faster with explicit inverse of symmetric posiitve definite matrix. These codes involve element by element multiplications of inverse with derivatives of matrix elements. Many vendor implementations multi-thread Cholesky DPOTRF, but not DPOTRI explicit inverse using this Cholesky, producing a ottleneck on local 2 and 4 way SMP nodes. ATLAS does include multithreaded DPOTRI.



Response #115: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Very Frequently
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Very Frequently

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Symmetric-multi-procs, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
BNCpack, MPIBNCpack

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Non-symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
No

2. If you do not use LAPACK, why?
Use another pkg

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
Scilab

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77, Scilab

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Use another pkg

3. If using another package, which one(s)?
MPIBNCpack

6. Do your applications make direct ScaLAPACK calls?
No

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
C

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Windows (other)

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
Application of Multiple Precision Numerical Computation



Response #116: 2005-08-14

General

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision:
b. Double precision: Very Frequently
c. More than double precision: Frequently
d. Complex single precision:
e. Complex double precision: Frequently
f. Complex, more than double precision: Frequently

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Generalized eigenvalue, Non-symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C++

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Windows (cygwin), Windows (other)




Response #117: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Very Frequently
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Sometimes
e. Complex double precision: Sometimes
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
1,000,000 or more X 100s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
R

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Matlab, R

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Windows (other)

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
biostatistics bioinformatics



Response #118: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Frequently
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Sometimes
e. Complex double precision: Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-shared-memory, Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Non-symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Other

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77, Fortran 90/95, Octave

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
IRIX, Linux, Windows (cygwin), Windows (other)

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Multiple


Additional Information




Response #119: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Rarely
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Generalized eigenvalue, Symmetric eigenvalue, Non-symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

2. If you do not use LAPACK, why?
Cost of learning

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
The overall size of LAPACK library is big for some small platforms.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
Provide interface for row-major storage.

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

16. What information in the LAPACK guide is hard to find or is missing, if any?
Syntax of routines, meanings and orders of parameters

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Not solving linear algebra

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Mac OS X, Windows (other), RT


Additional Information




Response #120: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-shared-memory, Widely-distributed

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
PLAPACK

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Generalized eigenvalue, Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
remove user supplied workspace; do it automatically. More obvious (longer) routine names, although this might break f77 applications.

15. How frequently do you refer to the LAPACK Users Guide?
Never

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

5. If you have used both a vendors version of ScaLAPACK and Netlibs, how do the two versions compare?
Vendor supplied is faster, but more buggy.

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 90/95

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
Automated workspace, more obvious routine names.

15. How frequently do you refer to the ScaLAPACK Users Guide?
Never

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux, Mac OS X, Tru64

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
We write code for quantum mechanics, which does repeated generalised eigensolving. Eigenvectors from one iteration are generally good initial guesses to the next, but we can't make any use of this in ScaLAPACK. For large systems our matrices get sparse and so we are looking into using PARPACK or something along those lines for those. Our biggest problem with ScaLAPACK is memory, not speed.
6.Additional Comments/Suggestions
Would very much like to see the RRR tridiagonal eigensolver in ScaLAPACK. Thanks for providing the survey!



Response #121: 2005-08-14

General

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Frequently
c. More than double precision: Never
d. Complex single precision: Rarely
e. Complex double precision: Rarely
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory:
c. Distributed memory:

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Vector-computers

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
PLAPACK

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, Symmetric eigenvalue, Least-square problems, SVDs, control theory

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

3. If using another package, which one(s)?
FLAME

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib, Other

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Vendor versions tend to be minimally tuned, but better tuned than netlib.

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
FLAME

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
Our helper functions abstract from indices, much like FLAME does

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
Make it more like FLAME

14. If you have installed LAPACK yourself, how could the installation process be improved?
Precompiled downloads work for me

15. How frequently do you refer to the LAPACK Users Guide?
Never

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Use another pkg

3. If using another package, which one(s)?
PLAPACK

6. Do your applications make direct ScaLAPACK calls?
No

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
C

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
The interface used by PLAPACK, which allows submatrices to be submitted in a transparent fashion, is far superior to the ScaLAPACK interface.

15. How frequently do you refer to the ScaLAPACK Users Guide?
Never

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, BSD, HP/UX, Linux

2a. Please specify any particular libraries of frameworks used?
OpenMP

3a. Please specify any particular libraries of frameworks used?
PLAPACK


Additional Information

5.Description of related activities
Dense library development
6.Additional Comments/Suggestions
Kindly circulate the comments that I had sent to Jim and Jack earlier.



Response #122: 2005-08-14

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Never
e. Complex double precision: Rarely
f. Complex, more than double precision: Never

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Distributed-shared-memory, Distributed-memory, Widely-distributed

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
PLAPACK

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, Least-square problems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Use another pkg

3. If using another package, which one(s)?
PLAPACK

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux, Windows (cygwin)

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #123: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Sometimes
d. Complex single precision: Rarely
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Sometimes

3. What dense matrix sizes are most important or time-consuming for your application?
100s X 100s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Vector-computers, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, Symmetric eigenvalue, Non-symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Vendor code is faster, but not more than 25%

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77, Fortran 90/95, Matlab

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Windows (cygwin), Windows (other)

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #124: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Sometimes
e. Complex double precision: Sometimes
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Vector-computers, Distributed-memory, Hybrid-shared

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
FLAME, PLAPACK

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

3. If using another package, which one(s)?
FLAME

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Sun Performance Library (Solaris 8, 9) had too many bugs. We were on the phone for half and hour or more each time we called in bug reports to Sun and finally decided that their implementation was worthless; we stopped using it and reverted to netlib sources.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
FLAME interfaces

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C, Fortran 77

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
Hide work arrays, leading dimensions, matrix dimensions, and possibly other matrix information (symmetric, triangular) beneath an abstraction layer (a la FLAME objects). Do not require user to provide workspace.

14. If you have installed LAPACK yourself, how could the installation process be improved?
LAPACK currently has no configuration support. Manually editing makefiles is fine for most wonks like us, but it's not very "professional" for an NSF project funded at LAPACK's level. Autoconf configure scripts would be very slick and help provide built-in support for building LAPACK on various frequently-used architectures.

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Cost of learning

3. If using another package, which one(s)?
PLAPACK

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
Same as LAPACK: desperately needed abstraction from details, memory allocation, etc.

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Solaris, SUPER-UX

2a. Please specify any particular libraries of frameworks used?
OpenMP

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing

3a. Please specify any particular libraries of frameworks used?
PLAPACK




Response #125: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100s X 10s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Symmetric-multi-procs, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

3. If using another package, which one(s)?
ESSL

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Vendor version is far better (faster).

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Cost of learning

3. If using another package, which one(s)?
self written

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Other

6. Do your applications make direct ScaLAPACK calls?
No

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

15. How frequently do you refer to the ScaLAPACK Users Guide?
Rarely

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, HP/UX, Linux, Solaris, Tru64

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading




Response #126: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Rarely
e. Complex double precision: Sometimes
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000,000 or more X 1,000,000 or more

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
ATLAS

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
Matlab

11. From which languages do you call LAPACK routines?
C, C++, Matlab

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
I/O Stuff for printf-debugging of small examples

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics




Response #127: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Sometimes
d. Complex single precision: Never
e. Complex double precision: Frequently
f. Complex, more than double precision: Sometimes

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

6. Which architectures do you use or intend to use in the next three years?
Sequential, Distributed-shared-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Banded linear systems, General linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
NETLIB

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

16. What information in the LAPACK guide is hard to find or is missing, if any?
Not everybody nowadays knows what LDA is - this scares off some especially young users of LAPACK

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
IRIX, Linux




Response #128: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Sometimes
d. Complex single precision: Never
e. Complex double precision: Frequently
f. Complex, more than double precision: Sometimes

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory:
c. Distributed memory:

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, Generalized eigenvalue, Symmetric eigenvalue, Non-symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Tuning netlib version can be annoying.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
python, matlab, octave

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77, Fortran 90/95, Python, Matlab, Octave

14. If you have installed LAPACK yourself, how could the installation process be improved?
dlamch tuning could be simplified?

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
C++

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
Getting matrix packings right is quite annoying.

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Mac OS X, Solaris

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #129: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision:
b. Double precision: Very Frequently
c. More than double precision:
d. Complex single precision:
e. Complex double precision: Sometimes
f. Complex, more than double precision:

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 10
b. Distributed shared-memory:
c. Distributed memory:

6. Which architectures do you use or intend to use in the next three years?
Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Not useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Least-square problems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Often e.g. on IBP SP's, the vendor version is better

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77

14. If you have installed LAPACK yourself, how could the installation process be improved?
I have not seeen any problem with the installation process

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

16. What information in the LAPACK guide is hard to find or is missing, if any?
The information is relevant and useful

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

5. If you have used both a vendors version of ScaLAPACK and Netlibs, how do the two versions compare?
Vendor's version is definitely faster (on Compaq and IBM)

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
C

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using ScaLAPACK?
Data distribution : the user should just provide pieces of matrices and set of indices, and the distribution should be automatic. Some comment should then be provided on possible performance degradation for some parameter values.

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
Give a set of routines to help distribute the data. The packed format is for us a key feature.

14. If you have installed ScaLAPACK yourself, how could the installation process be improved?
I have not met any problem with the installation.

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

16. What information in the ScaLAPACK guide is hard to find or is missing, if any?
I think that the guide should be refreshed : new architectures, new processors counts, new grids should be provided.

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, IRIX, Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #130: 2005-08-15

General

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision:
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 1,000,000 or more

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Not useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
General linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Not solving linear algebra

6. Do your applications make direct ScaLAPACK calls?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux, Mac OS X, Solaris, Tru64, Windows (other)

2a. Please specify any particular libraries of frameworks used?
OpenMP




Response #131: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Frequently
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Sometimes
e. Complex double precision: Sometimes
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000,000 or more X 1,000,000 or more

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Generalized eigenvalue, Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C++, Fortran 90/95, Matlab

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Mac OS X




Response #132: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Rarely
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Non-symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

11. From which languages do you call LAPACK routines?
Python

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux




Response #133: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100s X 100s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, Least-square problems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
no tests performed

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
C headers

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
provide C headers + assistance tool for linking (linking of Fortran and C can be a bit of a pain in the backside, finding all libraries that have to be linked in)

14. If you have installed LAPACK yourself, how could the installation process be improved?
configure script rather than multiple makefiles + user choice

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Not solving linear algebra

6. Do your applications make direct ScaLAPACK calls?
No

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?
Never

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Solaris

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #134: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Sometimes
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Distributed-memory

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
amd acml library, Intel mkl library

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Not useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Vendor better on Solaris

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
C

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Solaris

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #135: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Rarely
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, Generalized eigenvalue, Symmetric eigenvalue, Non-symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Not solving linear algebra

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux




Response #136: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Rarely
e. Complex double precision: Sometimes
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Symmetric-multi-procs, Distributed-shared-memory, Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Banded linear systems, General linear systems, Generalized eigenvalue, Non-symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, IRIX, Linux, Solaris, Tru64, Windows (cygwin), Windows (other)

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #137: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Sometimes
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, Generalized eigenvalue, Non-symmetric eigenvalue, matrix exponential

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
No

2. If you do not use LAPACK, why?
Use another pkg

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Use another pkg

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
HP/UX, Windows (cygwin)




Response #138: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Never
e. Complex double precision: Sometimes
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
100s X 100s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: More than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, Symmetric eigenvalue

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
No

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
MTJ

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Java

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
More optional arguments and thus shorter method signatures.

14. If you have installed LAPACK yourself, how could the installation process be improved?
It should build shared libraries, not just static.

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Cost of learning

6. Do your applications make direct ScaLAPACK calls?
No

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
The matrix layout and communication seems difficult.

15. How frequently do you refer to the ScaLAPACK Users Guide?
Rarely

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux, Solaris, Windows (cygwin)

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading

2a. Please specify any particular libraries of frameworks used?
java.util.concurrent

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
Numerical simulation of fluid flow in oil reservoirs.



Response #139: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Sometimes
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Vector-computers, Distributed-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, Generalized eigenvalue, Symmetric eigenvalue, Non-symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib, Other

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

11. From which languages do you call LAPACK routines?
C, C++, Fortran 77, Fortran 90/95, Fortran 2003

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
Yes

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
C

15. How frequently do you refer to the ScaLAPACK Users Guide?
Rarely

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
HP/UX, Linux, Windows (cygwin)

2a. Please specify any particular libraries of frameworks used?
OpenMP


Additional Information




Response #140: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision:
b. Double precision: Very Frequently
c. More than double precision:
d. Complex single precision:
e. Complex double precision: Very Frequently
f. Complex, more than double precision:

3. What dense matrix sizes are most important or time-consuming for your application?
1,000,000 or more X 1,000,000 or more

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP:
b. Distributed shared-memory:
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Distributed-memory, Widely-distributed

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
mumps

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Banded linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
No

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
mumps

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
Fortran 90/95

14. If you have installed ScaLAPACK yourself, how could the installation process be improved?
Please dump the makefiles and provide a simple compile script. I have had to get help from our unix experts in the university to get it to compile on our unix cluster using makefiles. No one in the university has been able to get it to compile on a PC win32/win64 cluster which does not use makefiles. Has anyone ever done this? If the answer is yes please email me details m.e.honnor@durham.ac.uk, thanks

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

16. What information in the ScaLAPACK guide is hard to find or is missing, if any?
A simple compile script.

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Windows (other), Windows XP

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #141: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
No

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Sometimes
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Rarely
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10s X 10s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, Non-symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Other

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
No

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
Mathematica, Apple's "Accelerate" framework

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++, Octave, Mathematica

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Not solving linear algebra

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Mac OS X, Solaris


Additional Information

5.Description of related activities
PhD-student in wavelet methods, I only use LAPACK for routines that I do not feel like implementing myself. Running time is not really an issue. The large-scale matrix operations are so sparse and specific that I implement them myself.



Response #142: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Very Frequently
b. Double precision: Very Frequently
c. More than double precision: Sometimes
d. Complex single precision: Sometimes
e. Complex double precision: Sometimes
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: More than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-memory, Widely-distributed

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Not useful

9. Do your applications solve linear algebra problems of the type?
General linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Multiple

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
CAE consultancy shop, with emphasis on CFD.



Response #143: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Never
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
10,000s X 10,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: More than 100
b. Distributed shared-memory: More than 100
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Distributed-shared-memory, Hybrid-shared

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Generalized eigenvalue, Symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Other

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 77, Fortran 90/95

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Other

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
Yes

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux, Solaris

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Multiple

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #144: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Frequently
b. Double precision: Very Frequently
c. More than double precision: Frequently
d. Complex single precision: Sometimes
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Frequently

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: More than 1,000
c. Distributed memory: More than 10,000

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs, Vector-computers, Distributed-shared-memory, Distributed-memory, Hybrid-shared, Widely-distributed

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
PLAPACK, Trilinos, Parallel ESSL

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, Banded linear systems, General linear systems, Non-symmetric eigenvalue, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
No

2. If you do not use LAPACK, why?
Use another pkg

3. If using another package, which one(s)?
ESSL for sequential work (though I do also use LAPACK when a customer requires it).

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
LAPACK is comfortable in some sense because I have been using it (off-and-on) for so many years. However, the differences are all in performance, which is important, but my problems with LAPACK/ScaLAPACK all stem from the interface and that, of course, does not change.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call LAPACK routines?
C, C++, Fortran 90/95

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
Getting rid of some of the explicit indexing would be nice. Being able to shift the borders of the "matrix of interest" inside the larger array on the machine would be nice. ScaLAPACK makes this situation worse, which is unavoidable I suppose. A very simple change would be slightly less cryptic identifier names (indirect feedback from anyone I help use LAPACK for the first, and often last, time).

14. If you have installed LAPACK yourself, how could the installation process be improved?
Unless the architecture is new, there seem to be few problems. Even with ScaLAPACK, I have encountered few problems in this respect. It was very well done.

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

2. If you do not use ScaLAPACK, why?
Use another pkg

3. If using another package, which one(s)?
Typically, I use pESSL, but use ScaLAPACK or PLAPACK when users have the need (prefer PLAPACK, especially to build a custom solver/routine).

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

5. If you have used both a vendors version of ScaLAPACK and Netlibs, how do the two versions compare?
ScaLAPACK is comfortable in some sense because I have been using it (off-and-on) for so many years. However, the differences are all in performance, which is important, but my problems with LAPACK/ScaLAPACK all stem from the interface and that, of course, does not change. [Yes, I copied my response from the LAPACK response above ... but it does apply]

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
Yes

11. From which languages do you call ScaLAPACK routines?
C

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using ScaLAPACK?
Lots of routines to change "shifts" into indexed calls. They are very small helper functions. Also, often I find that I have trouble making ScaLAPACK give me the data distribution I need. I'm fairly familiar with that part of ScaLAPACK, but perhaps this is a shortcoming on my part (maybe it could be done within ScaLAPACK more efficiently than I do it myself, but I have never felt I had the time to work it through; it's faster just to write my own).

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
The problem is that once you've used ScaLAPACK for a while, you get used to the shortcomings of the package. Often people who have used other packages (Trilinos subsets, PLAPACK, Global Array, etc.) are not willing to get used to things. Any step towards an interface like these would be helpful, especially to new users.

14. If you have installed ScaLAPACK yourself, how could the installation process be improved?
Again, very professional, painless installation. Now, sometimes we hit bugs when the test suites are run, but the distribution of bugs includes ScaLAPACK, other install libraries, etc.

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, Linux, Windows (cygwin), Windows (other), Other (Undisclosed)




Response #145: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Rarely
b. Double precision: Frequently
c. More than double precision: Frequently
d. Complex single precision: Rarely
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Frequently

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread, Symmetric-multi-procs

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Very useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Symmetric eigenvalue, Non-symmetric eigenvalue, Least-square problems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
They are more or less the same, I just don't have to compile / keep manually track of updates with Debian's lapack.

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, C++

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
OO wrapper

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
Object oriented framework for C++.

15. How frequently do you refer to the LAPACK Users Guide?
Frequently

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

5. If you have used both a vendors version of ScaLAPACK and Netlibs, how do the two versions compare?
They are more or less the same, I just don't have to compile / keep manually track of updates with Debian's lapack.

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using ScaLAPACK?
OO wrapper; see above...

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
see above

15. How frequently do you refer to the ScaLAPACK Users Guide?
Frequently

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information




Response #146: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Sometimes
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Sometimes

3. What dense matrix sizes are most important or time-consuming for your application?
100s X 100s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory:
c. Distributed memory:

6. Which architectures do you use or intend to use in the next three years?
Multi-core-thread, Distributed-memory

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Banded linear systems, General linear systems, Generalized eigenvalue, Symmetric eigenvalue, Non-symmetric eigenvalue, SVDs

LAPACK Usage

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
Matlab

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95, Matlab, Octave

14. If you have installed LAPACK yourself, how could the installation process be improved?
Many recent compilers seem too clever for automatic detection of parameters like machine epsilon to work. It would be useful to have a replacement that uses Fortran 90 intrinsics instead.

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Cost of learning

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux

2. If your applications run in a shared-memory environment, which styles of parallelism do they employ?
Platform threading


Additional Information




Response #147: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Rarely
d. Complex single precision: Never
e. Complex double precision: Very Frequently
f. Complex, more than double precision: Rarely

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory:
c. Distributed memory:

6. Which architectures do you use or intend to use in the next three years?
Sequential, Multi-core-thread

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Not useful
c. Automatic memory allocation of the work space: Somewhat useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
General linear systems, SVDs

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
Matlab

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C++

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using LAPACK?
C++ class package for matrices.

15. How frequently do you refer to the LAPACK Users Guide?
Rarely

ScaLAPACK Usage

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing




Response #148: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Sometimes
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
100,000s X 100,000s

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP:
b. Distributed shared-memory:
c. Distributed memory: More than 1,000

6. Which architectures do you use or intend to use in the next three years?
Distributed-memory

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
PLAPACK

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Not useful
b. Using optional arguments in the language interface: Very useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Vendor, Netlib

5. If you have used both a vendors version of LAPACK and Netlibs, how do the two versions compare?
Vender is much faster

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
No

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
C, Fortran 90/95

13. How could the LAPACK interface be improved to feel more natural to your application and implementation language?
Heavy use of C++

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
Yes

4. If you use ScaLAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct ScaLAPACK calls?
Yes

7. Do your applications use libraries which depend on ScaLAPACK?
No

8. Do your applications use a higher-level interface to ScaLAPACK?
No

10. Is the ScaLAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call ScaLAPACK routines?
C

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
Heavy use of C++

15. How frequently do you refer to the ScaLAPACK Users Guide?
Sometimes

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
AIX, IRIX, Linux, Mac OS X, Solaris

3. If your applications run in a distributed-memory environment, which styles of parallelism do they employ?
Message passing


Additional Information

5.Description of related activities
BEM application developer
7. Use DOE-lab resourcesYes



Response #149: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision: Never
d. Complex single precision: Never
e. Complex double precision: Sometimes
f. Complex, more than double precision: Never

3. What dense matrix sizes are most important or time-consuming for your application?
1,000s X 1,000s

4. Does your application come close to, or run out of memory on important problems?
No

5. Number of processors used for your application:

a. SMP: Less than 10
b. Distributed shared-memory: Less than 10
c. Distributed memory: Less than 10

6. Which architectures do you use or intend to use in the next three years?
Sequential

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Somewhat useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Very useful
d. More complicated matrix data structures: Somewhat useful

9. Do your applications solve linear algebra problems of the type?
Linear positive definite systems, General linear systems, Generalized eigenvalue, Symmetric eigenvalue, Non-symmetric eigenvalue, Least-square problems, SVDs, product problems (Schur,gen.Schur)

LAPACK Usage

1. Do you use LAPACK (or a vendor version of LAPACK )?
Yes

4. If you use LAPACK, do you use a vendors version or one obtained directly from Netlib?
Netlib

6. Do your applications make direct LAPACK calls?
Yes

7. Do your applications use libraries which depend on LAPACK?
Yes

8. Do your applications use a higher-level interface to LAPACK?
Yes

9. If you answered yes above, which higher-level interfaces do you use?
Matlab mex-functions

10. Is the LAPACK procedure interface a barrier to more extensive use?
No

11. From which languages do you call LAPACK routines?
Fortran 77, Fortran 90/95, Matlab

15. How frequently do you refer to the LAPACK Users Guide?
Sometimes

16. What information in the LAPACK guide is hard to find or is missing, if any?
algorithmic aspects and details

ScaLAPACK Usage

1. Do you use ScaLAPACK (or a vendor version of ScaLAPACK )?
No

2. If you do not use ScaLAPACK, why?
Not solving linear algebra

15. How frequently do you refer to the ScaLAPACK Users Guide?

Targeted Environment Specifics

1. Under which operating system environments do your applications run?
Linux, Windows (other)




Response #150: 2005-08-15

General

1. Is dense linear algebra a performance bottleneck in your applications?
Yes

2. How often do your applications use the arithmetic precisions listed below:

a. Single precision: Never
b. Double precision: Very Frequently
c. More than double precision:
d. Complex single precision:
e. Complex double precision:
f. Complex, more than double precision:

3. What dense matrix sizes are most important or time-consuming for your application?
1,000,000 or more X 1,000,000 or more

4. Does your application come close to, or run out of memory on important problems?
Yes

5. Number of processors used for your application:

a. SMP:
b. Distributed shared-memory:
c. Distributed memory: More than 100

6. Which architectures do you use or intend to use in the next three years?
Distributed-memory

7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?
no

8. Please rank how the following features would be useful to your current or planned applications?

a. User defined matrix types: Very useful
b. Using optional arguments in the language interface: Somewhat useful
c. Automatic memory allocation of the work space: Not useful
d. More complicated matrix data structures: Somewhat useful