Item type |
SIG Technical Reports(1) |
公開日 |
2018-07-23 |
タイトル |
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タイトル |
Towards Portable High Performance in Python: Transpilation, High-Level IR, Code Transformations and Compiler Directives |
タイトル |
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言語 |
en |
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タイトル |
Towards Portable High Performance in Python: Transpilation, High-Level IR, Code Transformations and Compiler Directives |
言語 |
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言語 |
eng |
キーワード |
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主題Scheme |
Other |
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主題 |
プログラミング環境 |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
著者所属 |
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Tokyo Institute of Technology/National Institute of Advanced Industrial Science and Technology |
著者所属 |
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National Institute of Advanced Industrial Science and Technology |
著者所属 |
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Tokyo Institute of Technology/National Institute of Advanced Industrial Science and Technology |
著者所属 |
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RIKEN Center for Computational Science/Tokyo Institute of Technology/National Institute of Advanced Industrial Science and Technology |
著者所属(英) |
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en |
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Tokyo Institute of Technology / National Institute of Advanced Industrial Science and Technology |
著者所属(英) |
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en |
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National Institute of Advanced Industrial Science and Technology |
著者所属(英) |
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en |
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Tokyo Institute of Technology / National Institute of Advanced Industrial Science and Technology |
著者所属(英) |
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en |
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RIKEN Center for Computational Science / Tokyo Institute of Technology / National Institute of Advanced Industrial Science and Technology |
著者名 |
Mateusz, Bysiek
Mohamed, Wahib
Aleksandr, Drozd
Satoshi, Matsuoka
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著者名(英) |
Mateusz, Bysiek
Mohamed, Wahib
Aleksandr, Drozd
Satoshi, Matsuoka
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論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
We present a method for accelerating the execution of Python programs. We rely on just-in-time automatic code translation and compilation with Python itself being used as a high-level intermediate representation. We also employ performance-oriented code transformations and compiler directives to achieve high performance portability while enabling end users to keep their codebase in pure Python. To evaluate our method, we implement an open-source transpilation framework with an easy-to-use interface that achieves performance better than state-of-the-art methods for accelerating Python. |
論文抄録(英) |
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内容記述タイプ |
Other |
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内容記述 |
We present a method for accelerating the execution of Python programs. We rely on just-in-time automatic code translation and compilation with Python itself being used as a high-level intermediate representation. We also employ performance-oriented code transformations and compiler directives to achieve high performance portability while enabling end users to keep their codebase in pure Python. To evaluate our method, we implement an open-source transpilation framework with an easy-to-use interface that achieves performance better than state-of-the-art methods for accelerating Python. |
書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AN10463942 |
書誌情報 |
研究報告ハイパフォーマンスコンピューティング(HPC)
巻 2018-HPC-165,
号 38,
p. 1-7,
発行日 2018-07-23
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ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8841 |
Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |