> Does it speed up Python? :-) Could you provide numbers (benchmarks)? > Yes, it does ;)
The maximum overall speedup I achieved was by a factor of 2.42 on my i7-920 for the spectralnorm benchmark of the computer language benchmark game. Others from the same set are: binarytrees: 1.9257 (1.9891) fannkuch: 1.6509 (1.7264) fasta: 1.5446 (1.7161) mandelbrot: 2.0040 (2.1847) nbody: 1.6165 (1.7602) spectralnorm: 2.2538 (2.4176) --- overall: 1.8213 (1.9382) (The first number is the combination of all optimizations, the one in parentheses is with my last optimization [Interpreter Instruction Scheduling] enabled, too.) For a comparative real world benchmark I tested Martin von Loewis' django port (there are not that many meaningful Python 3 real world benchmarks) and got a speedup of 1.3 (without IIS). This is reasonably well, US got a speedup of 1.35 on this benchmark. I just checked that pypy-c-latest on 64 bit reports 1.5 (the pypy-c-jit-latest figures seem to be not working currently or *really* fast...), but I cannot tell directly how that relates to speedups (it just says "less is better" and I did not quickly find an explanation). Since I did this benchmark last year, I have spent more time investigating this benchmark and found that I could do better, but I would have to guess as to how much (An interesting aside though: on this benchmark, the executable never grew on more than 5 megs of memory usage, exactly like the vanilla Python 3 interpreter.) hth, --stefan _______________________________________________ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
