Hello, during the last year, I have developed a couple of quickening-based optimizations for the Python 3.1 interpreter. As part of my PhD programme, I have published a first technique that combines quickening with inline caching at this year's ECOOP, and subsequently extended this technique to optimize several load instructions as well as eliminate redundant reference counting operations from instructions, which has been accepted for publication for an upcoming conference. I have a working prototype combining all of these optimizations that achieves a maximum speedup of 2.18 on the spectralnorm benchmark of the computer language benchmarks game. Early measurements on the Unladen Swallow django benchmark (with Martin von Loewis' patch for Python 3) achieve a speedup of about 1.3. Both speedups were measured on an i7 920 when combined with the threaded code/computed goto optimization enabled, and normalized by the standard Python 3.1 interpreter with all optimizations disabled. Since all of these optimizations are purely interpretative, they have next-to-no additional memory requirements and do not incur extensive warm-up costs.
I wonder whether you would be interested in integrating these optimizations with the Python 3 distribution, hence this mail. I could send copies of the papers, as well as provide my prototype source code to interested members of the python development community. Have a nice day, --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
