[Numpy-discussion] vectorizing loops

[Timothy Hochberg]

On 10/26/07, Sebastian Haase <haase at msg.ucsf.edu> wrote:
>
> On 10/26/07, David Cournapeau <david at ar.media.kyoto-u.ac.jp> wrote:
> > P.S: IMHO, this is one of the main limitation of numpy (or any language
> > using arrays for speed; and this is really difficult to optimize: you
> > need compilation, JIT or similar to solve those efficiently).
>
> This is where the scipy - sandbox numexpr  project comes in
> - if I'm not misaken ....
>
> http://www.scipy.org/SciPyPackages/NumExpr
>
> Description
> The scipy.sandbox.numexpr package supplies routines for the fast
> evaluation of array expressions elementwise by using a vector-based
> virtual machine. It's comparable to scipy.weave.blitz (in Weave), but
> doesn't require a separate compile step of C or C++ code.
>
>
> I hope that more noise around this  will result  in more interest and
> subsequentially result in more support.
> I think numexpr  might be one of the most powerful ideas in numpy /
> scipy  "recently".
> Did you know about numexpr - David ?


Sadly, I don't think numexpr will help here; It basically handles the same
cases as numpy; only faster because it can avoid a lot of temporaries. I
think he's going to need Psyco,  Pyrex, Weave or similar.




-- 
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.   |-\
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.  tim.hochberg at ieee.org
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