Re: Octave 2.1.57 vecLib Panther 10.3.4

[Paul Kienzle]

The princomp routine on octave forge uses
        C = cov(X)
        [U,D,pc] = svd(C,1)
Can you tell us which of these is running slower on large arrays?

How does the performance of other routines such as
lu, A*B and qr compare?

Does biG5 mean dual processor?  Does veclib automatically
parallelize blas?  Are both processors active?

Paul Kienzle
address@hidden

On Jun 21, 2004, at 10:22 AM, Samir Sharshar wrote:

> Hi,
>
> Please let me report my experience about Octave-2.1.57 compiling and 
> installing on a Mac OS 10.3.4 (Panther) with the last development 
> tools from Apple that provides the vecLib libraries and headers (a 
> BLAS, LAPACK like, as I mean).
>
> I've compiling and installing Octave-2.1.57 from sources with prior 
> installation of g77-3.5 and fftw3.0.1-fma.
>
> Octave runs perfectly on my machine; a biG5 at 2 gHz with 4 Go RAM.
>
> However, there is a problem that I can't resolve by myself. Principal 
> component analysis runs really slowly (three times less than on a 
> equivalent octave installation on a Debian runnng on a PIV 3.2 GHz). 
> Things are worst when octave was compiling linking ATLAS libraries 
> instead of vecLib ones.
>
> Have you any idea ?
>
> Thanks in advance,
>
> Best wishes,
>
> Samir Sharshar MD
> Inserm, Lille, France
>
>
>
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Octave is freely available under the terms of the GNU GPL.

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