On Sun, Jul 3, 2011 at 12:03 PM, Ian Ozsvald <i...@ianozsvald.com> wrote: > Cool :-) Thanks Antonio. I'd left a note to myself in the report > because I figured expanding the math to the primitive operations might > help PyPy (seeing as it helped Cython and ShedSkin too). I'll redo the > timings and add them to the v0.2 report (probably in two weeks time - > I'm waiting for feedback from several people). > > I've already tried a trunk version of PyPy and it was faster than > PyPy, I'll take whichever build is the most recent and replace PyPy1.5 > for the next updates to the report. If there is a trick to e.g. > re-ordering the operations so it runs faster in PyPy, I'd be happy to > accept a modification. >
You can also use numpy arrays (or array from array module) on PyPy to get even more speedups. It's annoying because as of now pypy doesn't support much of numpy (1D float arrays only with ops please :) but it's a good start _______________________________________________ pypy-dev mailing list pypy-dev@python.org http://mail.python.org/mailman/listinfo/pypy-dev
