Interesting answer :-) numexpr does a bit of this but your bigger point is that pypynumpy should go much further. That indeed will be interesting. Cheers, i.
On 20 February 2014 18:07, Armin Rigo <ar...@tunes.org> wrote: > Hi Ian, > > On 20 February 2014 12:59, Ian Ozsvald <i...@ianozsvald.com> wrote: >> Hi again. In relation to my other mail, I'm curious about the plans >> for numpy in the next 6 months. Is there an expectation that >> better-than-numpy results might be obtained (e.g. using AVX/SSE or >> being cache friendly)? I'll mention these as they will probably be >> relevant to some of the audience. > > The most relevant way to answer is probably to say that we're not > looking at AVX/SSE or cache friendlyness to get better-than-numpy > results. These are things that can be (and, I'm sure, have been) > experimented with in CPython too. The real advantage that PyPy has is > a JIT that can "unconventionally" be taught to produce code handling a > combination of matrix operations at a time. > > If you say in numpy "a + b + c", the intermediate matrix "a + b" is > built and forgotten. This would not be needed if we had a way to do > the sum of the three input matrices in one go. But that needs some > JIT somewhere, to produce the code doing this particular operation (in > this case, the sum of three matrices). The point of PyPy is to > provide precisely such a JIT for free. > > Unless I'm missing something, the plans for numpy in the next 6 months > include doing this --- or rather, re-doing it. It used to work > already at the beginning of numpypy, but was temporarily dropped to > make it easier to progress on completeness. I can imagine that this > would definitely give better-than-numpy results on a large fraction of > programs. > > > A bientôt, > > Armin. -- Ian Ozsvald (A.I. researcher) i...@ianozsvald.com http://IanOzsvald.com http://MorConsulting.com/ http://Annotate.IO http://SocialTiesApp.com/ http://TheScreencastingHandbook.com http://FivePoundApp.com/ http://twitter.com/IanOzsvald http://ShowMeDo.com _______________________________________________ pypy-dev mailing list pypy-dev@python.org https://mail.python.org/mailman/listinfo/pypy-dev
