[SciPy-user] Accelerating the calculation of a function
simon at arrowtheory.com
Sun Aug 6 19:57:56 CDT 2006
On Sun, 6 Aug 2006 22:40:39 +0200
Gael Varoquaux <gael.varoquaux at normalesup.org> wrote:
> Hi list,
> I am integrating an ODE. I thus have a complicated function that
> I call a lot of times. What limits my execution times (currently too
> high) is the call to this function, which happens a great number of
> times. I therefore need to speed this up.
> If it where a simple function I could use weave.inline or weave.blitz
> but this is a rather complicated function involving a lot of python
> magic that I would be very happy to keep ( things such as :
> sum( [F(k) for k in lasers]) ).
> How can I speed this up without rendering my function unreadable ? Is
> there a compiler (Just in time, maybe) that could speed this up ? Is
> psyco of any use ?
My tool of choice has been pyrex.
(Note that it cannot handle list comprehensions.)
Psyco does not understand numpy arrays (read: slow), but it
does understand (ie. optimize for) the python array type.
> Is their a way to inline my functions (I would like to keep them as
> functions for the sake of readability) ?
Yes, I hear you. I recently found this bytecodehacks/psyco post:
Simon Burton, B.Sc.
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