{"updated":"2025-01-20T01:07:09.417470+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00190679","sets":["1164:2240:9411:9526"]},"path":["9526"],"owner":"11","recid":"190679","title":["Towards Portable High Performance in Python: Transpilation, High-Level IR, Code Transformations and Compiler Directives"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-07-23"},"_buckets":{"deposit":"912303c5-63af-4f41-ae6b-5afb40412a7d"},"_deposit":{"id":"190679","pid":{"type":"depid","value":"190679","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Towards Portable High Performance in Python: Transpilation, High-Level IR, Code Transformations and Compiler Directives","author_link":["437045","437044","437047","437046","437049","437048","437050","437043"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Towards Portable High Performance in Python: Transpilation, High-Level IR, Code Transformations and Compiler 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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.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"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.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告ハイパフォーマンスコンピューティング（HPC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2018-07-23","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"38","bibliographicVolumeNumber":"2018-HPC-165"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:56:38.010157+00:00","id":190679,"links":{}}