Dear all, I've published v0.2 of my High Performance Python tutorial write-up from the session I ran at EuroPython: http://ianozsvald.com/2011/07/25/high-performance-python-tutorial-v0-2-from-europython-2011/
Antonio - you asked earlier if the 'expanded math' version of the Mandelbrot solver (using doubles rather than complex numbers) would be faster - I've timed it and it is a bit faster with a nightly build of PyPy, but nowhere near as fast at ShedSkin's generated C output (details below). Maciej - thanks for pointing me at the numpy module. I've added a tiny section showing numpy in PyPy but I haven't converted the Mandelbrot solver to use it (even finishing v0.2 took longer than I'd thought). I'm hoping that some more exposure in the report might bring in more volunteers from outside. Here's a clip from the report in the PyPy section: "By running pypy pure_python.py 1000 1000 on my MacBook it takes 5.9 seconds, running pypy pure_python_2.py 1000 1000 takes 4.9 seconds. (Ian - the only difference with pure_python_2.py is that local dereferences in the tight loop are moved outside the loop, causing fewer dereference operations) As an additional test (not shown in the graphs) I ran pypy shedskin2.py 1000 1000 which runs the expanded math version of the shedskin variant below (this replaces complex numbers with floats and expands abs to avoid the square root). The shedskin2.py result takes 3.2 seconds (which is still much slower than the 0.4s version compiled using shedskin)." The pure_python src is here: https://github.com/ianozsvald/EuroPython2011_HighPerformanceComputing/tree/master/mandelbrot/python shedskin2.py is available here: https://github.com/ianozsvald/EuroPython2011_HighPerformanceComputing/tree/master/mandelbrot/shedskin I haven't tested whether the warm-up periods for PyPy are significant, possibly they account for much of the difference between ShedSkin and PyPy? I want to revisit this but for the next few weeks I have to go back to other projects. I hope the report brings in some new folk for PyPy, Ian. -- Ian Ozsvald (A.I. researcher, screencaster) i...@ianozsvald.com http://IanOzsvald.com http://SocialTiesApp.com/ http://MorConsulting.com/ http://blog.AICookbook.com/ http://TheScreencastingHandbook.com http://FivePoundApp.com/ http://twitter.com/IanOzsvald _______________________________________________ pypy-dev mailing list pypy-dev@python.org http://mail.python.org/mailman/listinfo/pypy-dev
