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Re: optimization
- To: Mumit Khan <khan@xraylith.wisc.edu>, "Cygwin Mailing List" <cygwin@sourceware.cygnus.com>, reza@psych.utoronto.ca
- Subject: Re: optimization
- From: "Lars Gregersen" <lg@popeye.kt.dtu.dk>
- Date: Tue, 13 Jul 1999 10:14:07 -0100
- CC: "Cygwin Mailing List" <cygwin@sourceware.cygnus.com>
- Organization: Institut for Kemiteknik
- References: Your message of "Mon, 12 Jul 1999 13:23:04 EDT." <000301becc8b$3366ad00$788a94d1@newton>
- Reply-to: lg@kt.dtu.dk
> "Reza Habib" <reza@psych.utoronto.ca> writes:
[snip]
> > is windows). I'm in the process of writing some statistical tools for
> > image analysis. My data are in floating point and I will mainly be
> > conducting matrix algebra type operations. I'm trying to pick the
> > compiler which will produce the fastest, most efficient code. Thanks.
>
> For floating point intensive code, MSVC is hard to beat at this time.
> However, for majority of the `real-life' numerical code, it doesn't matter
> all that much as long as the compiler codegen performance is reasonably
> close.
I wonder if anybody has used to Intel Math Kernel Libraries with the
egcs compiler? It consists of BLAS level 1 to 3 and some LAPACK
functions, but egcs is not supported. I have seen a very big increase
in computational performance using this library with the MSVC
compiler, but we should be able to get the same performance jump when
using egcs. No matter what compiler you use you should consider this
library for matrix computations (provided you're planning to run the
code on a Intel processor).
Have anybody tested this?
Regards
Lars Gregersen
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Lars Gregersen Telephone no.: +45 45 25 28 08
Technical University of Denmark Fax no. : +45 45 88 22 58
Department of Chemical Engineering E-mail : lg@kt.dtu.dk
Bygning 229
DK-2800 Lyngby
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