[Numpy-discussion] vectorizing loops
Fri Oct 26 08:30:24 CDT 2007
On 10/26/07, Sebastian Haase <email@example.com> wrote:
> On 10/26/07, David Cournapeau <firstname.lastname@example.org> 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 ....
> 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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