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: 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









Sun May 19 18:31:30 2013
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