LAPACK and ScaLAPACK Survey Results - by response

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Response #1: 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








Wed May 22 17:10:41 2013
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