PyPy 4.0.0 Released - A Jit with SIMD Vectorization and More
We’re pleased and proud to unleash PyPy 4.0.0, a major update of the PyPy python 2.7.10 compatible interpreter with a Just In Time compiler. We have improved warmup time and memory overhead used for tracing, added vectorization for numpy and general loops where possible on x86 hardware (disabled by default), refactored rough edges in rpython, and increased functionality of numpy. You can download
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計画ã—ãŸã®ã¯åŠå¹´ä»¥ä¸Šå‰ã€æ¤œè¨¼ã¯ 2 ヶ月ã‹ã‹ã£ãŸã€‚ çµæžœçš„ã«ã¯ CPU 使用率ã¯åŠåˆ†ã«ãªã‚Šæ€§èƒ½ã¯å€ã«ãªã£ãŸã€‚ã‚‚ã¡ã‚ã‚“ã€æœ¬ç•ªã§ã€ã 。 ã“ã‚Œã‹ã‚‰å¾ã€…ã« CPython 環境を PyPy 環境ã¸ã¨ç½®ãæ›ãˆã¦ã„ã。PyPy ã®æœ€å¤§ã®é…力ã¯ãã®æ€§èƒ½ã ã‚ã†ã€‚性能ãŒå¤§ãã上ãŒã‚‹ãŸã‚ã€æ—¢å˜ç’°å¢ƒã«ã‹ã‹ã£ã¦ã„るサーãƒè²»ç”¨ã‚’削減ã™ã‚‹ã“ã¨ãŒå‡ºæ¥ã‚‹ã€‚ ãŸã ã€æ³¨æ„ã—ã¦æ¬²ã—ã„ã®ã¯ PyPy ã¯ã¨ã¦ã¤ã‚‚ãªãメモリーを消費ã™ã‚‹ã€‚ Python 環境ã§ãƒ‘フォーマンスå‘上を狙ã†ã«ã¯ PyPy ã¯ã¨ã¦ã‚‚よã„é¸æŠžè‚¢ã ã¨æ€ã†ã€‚ã¨ã¦ã‚‚安定ã—ã¦ã„ã‚‹ã—ã€äº’æ›æ€§ãŒæœ¬å½“ã«é«˜ã„。 Python + Django ã¨ã„ã†ç’°å¢ƒã§ã€2 å€æ€§èƒ½ã‚’上ã’ã‚‹ã“ã¨ã¯ãã†ãã†å‡ºæ¥ãªã„。 ãŸã ã€PyPy ãŒæœ€å¾Œã®ç ¦ã§ã¯ã‚ã‚‹ã®ã§ã€ã“れ以上ã®ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ã‚’æœ›ã‚€å ´åˆã¯è¨€èªžã‚’変更ã™ã‚‹å¿…è¦ãŒã‚る。Golang ãªã®ã‹ Elixir ãªã®ã‹ã€‚ PyPy ã‚’å°Žå…¥ã—ãŸã“ã¨ã§ã€æ¬¡
PyPy.js: Now faster than CPython
OK OK, I couldn't resist that title but it probably goes a bit far. Let me try for a little more nuance: PyPy.js: Now faster than CPython, on a single carefully-tuned benchmark, after JIT warmup. It has been the better part of a year since I first started hacking on PyPy.js, an experiment in bringing a fast and compliant python interpreter to the web. I've been pretty quiet during that time but ha
C++ objects in cppyy, part 1: Data Members
The cppyy module makes it possible to call into C++ from PyPy through the Reflex package. Documentation and setup instructions are available here. Recent work has focused on STL, low-level buffers, and code quality, but also a lot on pythonizations for the CINT backend, which is mostly for High Energy Physics (HEP) use only. A previous posting walked through the high-level structure and organizati
Prototype PHP interpreter using the PyPy toolchain - Hippy VM
Prototype PHP interpreter using the PyPy toolchain - Hippy VM Hello everyone. I'm proud to release the result of a Facebook-sponsored study on the feasibility of using the RPython toolchain to produce a PHP interpreter. The rules were simple: two months; one person; get as close to PHP as possible, implementing enough warts and corner cases to be reasonably sure that it answers hard problems in th
å› ç¸ã® Google ç‹¬è‡ªè¨€èªžå¯¾æ±ºï¼ Go 1 vs PyPy : DSAS開発者ã®éƒ¨å±‹
エイプリルフールãƒã‚¿ãŒæ€ã„ã¤ã‹ãªã„ã‘ã©4/1ã¯ä¼‘æ—¥ãªã‚“ã§å•é¡Œã‚ã‚Šã¾ã›ã‚“。 methane ã§ã™ã€‚ ã¨ã†ã¨ã† ゴー ã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ 1 ãŒãƒªãƒªãƒ¼ã‚¹ã•ã‚Œã¾ã—ãŸã。ãŠã‚ã§ã¨ã†ã”ã–ã„ã¾ã™ã€‚ ã¾ã RC2ãŒå‡ºã¦ã‹ã‚‰ã‚ã¾ã‚Šæ™‚é–“ãŒçµŒã£ã¦ãªã„æ°—ãŒã™ã‚‹ã®ã§ã™ãŒã€ãƒ‘イソンã«ã‚°ãƒ¼ã‚°ãƒ«ç‹¬è‡ªè¨€èªžã®ç§°å·ã‚’奪ã‚ã‚Œãã†ã«ãªã£ã¦æ…Œã¦ãŸã®ã‹ã‚‚ã—ã‚Œã¾ã›ã‚“。 å‰å›žã®echoサーãƒãƒ¼å¯¾æ±º ã‹ã‚‰åŠå¹´ã™ã“ã—経ã£ãŸã®ã§ã™ãŒã€ã“ã®é–“ã«ã©ã‚Œãらã„高速化ã—ãŸã®ã‹ã€æ—©é€Ÿãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã‚’アップデートã—ã¾ã—ãŸã€‚ echoserver on github Google Docs Spreadsheet å‰å›žã®ã‚¹ã‚³ã‚¢ã¨æ¯”較ã—ã¦ã¿ã‚‹ã¨ã€ Go ã® r59 ã§ã¯ Throughput: 52087.16 [#/sec] Throughput: 52070.02 [#/sec] Throughput: 52068.27 [#/sec] ã ã£ãŸã®ãŒã€ Go 1 ã§ã¯
æµè¡Œã‚Šã®JITコンパイラã¯å«Œã„ã§ã™ã‹? — PyPy Advent Calendar 2011 v1.0 documentation
æµè¡Œã‚Šã®JITコンパイラã¯å«Œã„ã§ã™ã‹?¶ PyPy Advent Calendar 12/23担当㮠RYO @ 修論æ出1ヶ月å‰ã§ã™ã€‚ ã„よã„よ明日ã¯ã‚¯ãƒªã‚¹ãƒžã‚¹ã‚¤ãƒ–ã§ã™ã。 リア充ã®æ–¹ã‚‚ãã†ã§ãªã„方もã€å½“記事ã«ç›®ã‚’ç•™ã‚ã¦é ‚ãèª ã«ã‚ã‚ŠãŒã¨ã†ã”ã–ã„ã¾ã™ã€‚ 本記事ã§ã¯ã€ä»–ã®çš†ã•ã‚“ãŒæ‰±ã‚ã‚Œã¦ã„るよã†ãªå®Ÿç”¨çš„ãªãƒã‚¿ã¨ã¯ç•°ãªã‚‹ PyPyã®å†…å´ã®è©±ã€ç‰¹ã«PyPyã®JITコンパイラã«é–¢ã™ã‚‹è©±é¡Œã‚’扱ã„ãŸã„ã¨æ€ã„ã¾ã™ã€‚ ã—ãŸãŒã£ã¦ã€æœ¬è¨˜äº‹ã®æƒ…å ±ã¯æ¥å‹™ç‰ã®å½¹ã«ã¯ã¾ã£ãŸãç«‹ã¡ã¾ã›ã‚“ã®ã§ã”容赦願ã„ã¾ã™ã€‚ ã•ã¦ã€ã“ã®è¨˜äº‹ã‚’ãŠèªã¿ã«ãªã£ã¦ã„る方々ã®æ®†ã©ã¯ã€ PyPy = JITã®ãŠã‹ã’ã§æ—©ããªã£ãŸäº‹ã§æœ‰åãªPythonã®å‡¦ç†ç³» ã¨ã„ã†èªè˜ã‚’ãŠæŒã¡ã ã¨æ€ã„ã¾ã™ã€‚ 確ã‹ã«ã“ã®èªè˜ã¯é–“é•ã£ã¦ã¯ã„ãªã„ã®ã§ã™ãŒã€ 実ã¯Pythonã«JITã‚’ä¹—ã›ã‚‹äº‹ã§é«˜é€ŸåŒ–を図る処ç†ç³»ã¯PyPyã ã‘ã§ã¯ãªã〠ãã®æ®†ã©ãŒPyPyãŒä»Šç¨‹ã®æœ‰åãªã‚‚
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1. - Python ã«ã‚ˆã‚‹ Python 実装 - 2011/11/11 pypy-ja é—‡ã®è»å›£ 団員 ã—ょã†ã¾(@shomah4a) 2. ã‚„ã‚‹ã“㨠◠PyPy ã£ã¦ãªã«? â— Python 処ç†ç³»ã¨ã—ã¦ã® PyPy â— æ´å²çš„ãªãŠè©± â— ã‚‚ã†ä¸€ã¤ã® PyPy â— RPython ツールãƒã‚§ã‚¤ãƒ³ ◠言語を作るã«ã¯ â— é—‡ã®è»å›£ã«ã¤ã„㦠3. ãŠå‰ã€èª°ã‚ˆ â— ã—ょã†ã¾(@shomah4a) â— Java ã®ä¼šç¤¾å‹¤å‹™ â— ã¦ã„ã†ã‹ãã®ä¼šç¤¾ã®ç¤¾å†…勉強会 ◠仕事ã§ã¯ä»Šã¯ Python 使ã£ã¦ã¾ã™ã€‚ã¨æ€ã£ãŸã‚‰ãã†ã§ã‚‚ãªã ãªã£ãŸ â— Java ã¨ã‹ã‚ˆãã‚ã‹ã‚Šã¾ã›ã‚“ â— PyPy を触ã£ã¦ã¿ãŸãã£ã‹ã‘ã¯ã€ä¿ºè¨€èªžãŒä½œã‚ŠãŸã‹ã£ãŸã‹ ら â— PyPy é—‡ã®è»å›£ã®å›£å“¡ã‚‰ã—ã„
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ãã¾ãŽ @kumagi Pythonã®JITコンパイラを実装ã™ã‚‹ã ã‘ãªã‚‰å®Ÿè£…ã«ç”¨ã„る言語ã¯Pythonã§ã‚ã‚‹å¿…è¦ã¯ç„¡ã„ã‚ã‘ã ã‘ã‚Œã©ã€Rubiniusã¨ã„ã„ãã®è¨€èªžã®å‡¦ç†ç³»ã‚’ãã®è¨€èªžè‡ªèº«ã§ä½œã‚‹ã“ã¨ã®æ„義ã£ã¦å…·ä½“çš„ã«ä½•ãŒã‚ã‚‹ã‚“ã§ã™ã‹ï¼Ÿå®Ÿè¡Œã®ç‚ºã«CPythonã‚„CRubyを別ã«å¿…è¦ã¨ã™ã‚‹ã¨è€ƒãˆã‚‹ã¨æ¬ 点ã—ã‹â€¦ï¼Ÿ 2011-11-02 13:28:05 ã½ã‚“ã“㤠@ponkotuy pypyã¯Pythonã®å®Ÿè¡Œç’°å¢ƒã‚’Pythonã§ä½œã£ã¦ã‚‹ã€‚ã‚る言語ã®å®Ÿè¡Œç’°å¢ƒã‚’ãã®è¨€èªžãã®ã‚‚ã®ã§å®Ÿè£…ã™ã‚‹ã“ã¨ã¯æ„義ãŒã‚ã‚‹ã€ã£ã¦è¨€ã£ã¦ãŸãªã€pypyã§ã¯ [Mimas] 2011-11-02 13:30:28
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