Message379399
| Author | methane |
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| Recipients | larry, lemburg, mark.dickinson, methane, pablogsal, pitrou, rhettinger, scoder, serhiy.storchaka, vstinner, yselivanov |
| Date | 2020-10-23.03:21:19 |
| SpamBayes Score | -1.0 |
| Marked as misclassified | Yes |
| Message-id | <1603423279.43.0.132255733574.issue24165@roundup.psfhosted.org> |
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| Content | |
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I had suspected that pypeformance just don't have enough workload for non-small int. For example, spectral_norm is integer heavy + some float warkload. But bm_spectral_norm uses `DEFAULT_N = 130`. So most integers are fit into smallint cache. On the othar hand, spectral_norm in the benchmarkgame uses N=5500. https://benchmarksgame-team.pages.debian.net/benchmarksgame/program/spectralnorm-python3-8.html So I ran the benchmark on my machine: master: real 1m24.647s user 5m37.515s patched: real 1m19.033s user 5m14.682s master+increased small int from [-5, 256] to [-9, 1024] real 1m23.742s user 5m33.569s 314.682/337.515 = 0.9323496733478512. So ther is only 7% speedup even when N=5500. After all, I think it is doubtful. Let's stop this idea until situation is changed. |
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| History | |||
|---|---|---|---|
| Date | User | Action | Args |
| 2020-10-23 03:21:19 | methane | set | recipients: + methane, lemburg, rhettinger, mark.dickinson, pitrou, scoder, vstinner, larry, serhiy.storchaka, yselivanov, pablogsal |
| 2020-10-23 03:21:19 | methane | set | messageid: <1603423279.43.0.132255733574.issue24165@roundup.psfhosted.org> |
| 2020-10-23 03:21:19 | methane | link | issue24165 messages |
| 2020-10-23 03:21:19 | methane | create | |