Le ven. 24 mai 2019 à 09:41, Inada Naoki <[email protected]> a écrit : > For the record, result for 10M nodes, Ubuntu 18.04 on AWS r5a.4xlarge: > > $ local/bin/python3 t1.py # default > 1138.1123778309993 -- end train, start del > 688.7927911250008 -- end > > $ arena-1m/bin/python3 t1.py # Changed ARENA_SIZE to 1MiB > 1085.3363994170013 -- end train, start del > 84.57135540099989 -- end
688 => 84 looks like an interesting speedup. Would it be technically possible to make ARENA_SIZE configurable at runtime? Using the new PEP 587 preinitialization, it shouldn't be too hard to hard a new command line option and/or an environment variable to tune the memory allocator: https://www.python.org/dev/peps/pep-0587/#preinitialization-with-pypreconfig Victor -- Night gathers, and now my watch begins. It shall not end until my death. _______________________________________________ Python-Dev mailing list [email protected] https://mail.python.org/mailman/listinfo/python-dev Unsubscribe: https://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com