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Optimising ATLAS for SciPy Linear Algebra
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Guy K. Kloss  
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 More options Sep 19 2012, 12:01 am
From: "Guy K. Kloss" <guy.kl...@aut.ac.nz>
Date: Wed, 19 Sep 2012 16:00:57 +1200
Local: Wed, Sep 19 2012 12:00 am
Subject: Optimising ATLAS for SciPy Linear Algebra

In case you're lusing SciPy with BLAS/ATLAS for linear algebra, this
might give you (possibly significantly) enhanced execution speed:

http://mail.scipy.org/pipermail/scipy-user/2012-September/033055.html

Guy

--
Guy K. Kloss
School of Computing + Mathematical Sciences
Auckland University of Technology
Private Bag 92006, Auckland 1142
phone: +64 9 921 9999 ext. 5032
eMail: Guy.Kl...@aut.ac.nz

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Douglas Bagnall  
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 More options Sep 19 2012, 7:10 am
From: Douglas Bagnall <doug...@halo.gen.nz>
Date: Wed, 19 Sep 2012 23:10:17 +1200
Local: Wed, Sep 19 2012 7:10 am
Subject: Re: [nzpug] Optimising ATLAS for SciPy Linear Algebra

Guy wrote:
> In case you're lusing SciPy with BLAS/ATLAS for linear algebra, this
> might give you (possibly significantly) enhanced execution speed:

> http://mail.scipy.org/pipermail/scipy-user/2012-September/033055.html

A couple of years ago I found that the problem mentioned here (distro
packages are optimised for pessimal machines) made the default OpenCV
packages several times slower than a re-compiled version. That was on
32 bit x86. When I switched to x86_64, the difference disappeared.

The reason is of course that the x86_64 baseline includes SSE2 and the
compiler can assume a fairly modern CPU structure with caches and
pipelines and so forth. The 32 bit default has to expect to run, if
not on a 386 sans floating point coprocessor, at least on a mid-90s
MMX-less Pentium.

My bet is recompiling will give you some improvement on x86_64, but it
will be in the range of a few percent rather than a few times.

Douglas


 
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