|Re: [eigen] Decrease in performances|
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- To: eigen@xxxxxxxxxxxxxxxxxxx
- Subject: Re: [eigen] Decrease in performances
- From: Gael Guennebaud <gael.guennebaud@xxxxxxxxx>
- Date: Mon, 25 Jun 2012 15:26:45 +0200
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in-between the 3.0.3 and 3.0.4 release I see only the 5 following
change-sets that could affect the performances:
using bissection strategy you should be able to find exact change-set
that introduced a regression with at most 3 tries. Not that if you are
using SelfAdjointEigenSolver then the slowdown might simply be due to
to lack of precision in previous releases (see changeset
thanks for your help,
On Mon, Jun 25, 2012 at 12:10 PM, Maxime REIS <maxime.reis@xxxxxxxxx> wrote:
> Hi everyone,
> A few releases ago, I noticed a slight decrease in overall performances in
> my soft, using eigen. Since execution time is my main concern and the reason
> why I chose eigen in the first place, I ran a few tests to make sure :
> I recompiled my project using all 3.x releases of eigen (and some 2.0.x
> too), and compared the execution time of some algorithms I implemented.
> Versions 3.0.0 to 3.0.3 gave fairly stable results, but versions 3.0.4,
> 3.0.5 and 3.1 made my execution time up to 50% longer on some critical
> algorithms (performances are similar in the last three versions though). All
> my code uses mostly basic matrix operations (product, transpose, submatrix
> extraction) on fixed-size matrices.
> I can try and be more precise on what takes more time if needed, but I think
> the eigen benchmark suite would be better suited for that purpose (the last
> published bench is over a year old...)
> Has anyone else had similar problems with performances ?
> Maxime REIS.