LAPACK and ScaLAPACK Survey Results - by response

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Response #1: 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: 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 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, Hybrid-shared

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

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, 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?
Vendor versions are *usually* faster, but not always.

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?
We have C++ application codes. We would like to have matrix 'objects' which would bundle size information, and possibly have various format/layout options (e.g. packed symmetric, etc.).

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++

12. Please describe any tools or helper functions that you frequently implement to assist your applications in using ScaLAPACK?
Getting the matrix into a 2-D block cyclic distribution is non-trivial.

13. How could the ScaLAPACK interface be improved to feel more natural to your application and implementation language?
Some object-orientation in terms of matrix types (maybe bundling the array descriptors with the matrix, etc.) would be useful from a C++ application's perspective.

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, Solaris, 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 use ScaLAPACK in a boundary element method application. We also have finite element method applications which use sparse solvers (both iterative and direct) which in turn use BLAS and LAPACK heavily.
7. Use DOE-lab resourcesYes








Fri Aug 22 05:50:13 2014
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