[Numpy-discussion] performance matrix multiplication vs. matlab

David Cournapeau david at ar.media.kyoto-u.ac.jp
Sun Jun 7 06:00:52 EDT 2009

Gael Varoquaux wrote:
> On Sun, Jun 07, 2009 at 06:37:21PM +0900, David Cournapeau wrote:
>> That's why compiling atlas by yourself is hard, and I generally advise
>> against it: there is nothing intrinsically hard about it, but you need
>> to know a lot of small details and platform oddities to get it right
>> every time. That's just a waste of time in most cases IMHO, unless all
>> you do with numpy is inverting big matrices,
> Well, I do bootstrapping of PCAs, that is SVDs. I can tell you, it makes
> a big difference, especially since I have 8 cores.

hence *most* :) I doubt most numpy users need to do PCA on
high-dimensional data.



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