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Date: Fri, 5 Apr 2013 19:49:12 +1100
Subject: Re: JIT compilers for Python, what is the latest news?
From: Chris Angelico <rosuav@gmail.com>
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Xref: csiph.com comp.lang.python:42797

On Fri, Apr 5, 2013 at 7:39 PM, John Ladasky <john_ladasky@sbcglobal.net> w=
rote:
> On Friday, April 5, 2013 1:27:40 AM UTC-7, Chris Angelico wrote:
>> 1) Can you optimize your algorithms? Three days of processing is... a LO=
T.
>
> Neural network training.  Yes, it takes a long time.  Still, it's not the=
 most tedious code I run.  I also do molecular-dynamics simulations with GR=
OMACS, those runs can take over a week!
>
>> 2) Rewrite some key portions in C, possibly using Cython (as MRAB sugges=
ted).
>
> And as I replied to MRAB, my limiting code is within Numpy.  I've taken c=
are to look for ways that I might have been using Numpy itself inefficientl=
y (and I did find a problem once: fixing it tripled my execution speed).  B=
ut I would like to think that Numpy itself, since it is already a C extensi=
on, should be optimal.

Ahh, yeah, that's gonna take a while. Your minimum processing time is
likely to remain fairly high. There won't be any stupidly easy
improvements to make (like one of my favorite examples from
databasing: an overnight job became a three-second run, just by making
proper use of a Btrieve file's index).

ChrisA