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From: Javier Civera (458557_at_[hidden])
Date: 2007-06-08 10:27:51

Hi,

I am developing a software that involves large matrices computations
(matrix-matrix product, matrix-vector product, inverse). I am using
Linux and compiling with gcc.

I would like to speed up matrix computations, any suggestion to do that?
My conclusion, after some web surfing, is that I should use ATLAS. In
"Automated Empirical Optimization of Software and the ATLAS project" by
Whaley, Petitet and Dongarra, it seems that computational cost can be
reduced ten times or more. Has anybody experienced with this library and
obtained this results?

Anyway, this paper is 7 years old, and I can't find a newer reference. I
know that in http://math-atlas.sourceforge.net I can find some timings,
but they are not compared with the timings obtained if you do not use
ATLAS... Does anybody know recent comparisons about the computational
saving obtained using ATLAS?

Thank you very much, regards,

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