[Numpy-discussion] performance matrix multiplication vs. matlab

David Cournapeau david@ar.media.kyoto-u.ac...
Sun Jun 7 05:00:52 CDT 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.

cheers,

David


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