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ScaLAPACK installations include the following libraries: scalapack, redist, pblas, tools, blacs, blacsCinit, and blacsF77init.
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| Table of Contents |
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An meeting with Professor Choi J.
I finally met Prof. Choi J. which a member of ScaLAPACK
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- What is the Block-Oriented?
- Why use shared memory instead of files?
- Are there any ways (or methods) to handle to files?
- What are the relative merits and demerits of the ScaLAPACK?
- Performance Results?
And, In the last question
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team on the 23th of June, 2008 and, He agreed to teach me some advanced topics in mathematics. I have been hearing about him for quite a long time.
- Written in Fortran77 with a few in C
- Covers dense and band matrices, not general sparse matrices
- Written in a Single-Program-Multiple-Data style using explicit message passing for inter-processor communication.
- Assumes matrices are laid out in a two-dimensional block cyclic decomposition.
Lastly, I heard that the Hama is worthwhile to continue the research on the basis of the ScaLAPACK’s ideas.
Some Performance Report
- Performance data for Version 1.4 of ScaLAPACK on four distributed memory computers and two networks of workstations
RScaLAPACK
Note that the following result is based on an internal, rudimentary experiment.
dimension | solve | sla.solve (t=32) |
5000 | real 9m2.438s, user 9m0.473s, sys 0m1.649s | real 1m55.863s, user 0m10.638s, sys 0m2.621s |
10000 | x | x |
15000 | Doesn't Work | Doesn't Work |
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