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  1. 研究報告
  2. ハイパフォーマンスコンピューティング(HPC)
  3. 2024
  4. 2024-HPC-196

Development of a Python Interface for Code-To-Code Adapter (CoToCoA) Library

https://ipsj.ixsq.nii.ac.jp/records/239733
https://ipsj.ixsq.nii.ac.jp/records/239733
34e4cc1c-b31b-4971-a406-ddb8672336aa
名前 / ファイル ライセンス アクション
IPSJ-HPC24196004.pdf IPSJ-HPC24196004.pdf (581.5 kB)
 2026年9月23日からダウンロード可能です。
Copyright (c) 2024 by the Information Processing Society of Japan
非会員:¥660, IPSJ:学会員:¥330, HPC:会員:¥0, DLIB:会員:¥0
Item type SIG Technical Reports(1)
公開日 2024-09-23
タイトル
タイトル Development of a Python Interface for Code-To-Code Adapter (CoToCoA) Library
タイトル
言語 en
タイトル Development of a Python Interface for Code-To-Code Adapter (CoToCoA) Library
言語
言語 eng
キーワード
主題Scheme Other
主題 スーパーコンピューティング環境
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_18gh
資源タイプ technical report
著者所属
Graduate School of Informatics, Kyoto University
著者所属
Academic Center for Computing and Media Studies, Kyoto University
著者所属
Academic Center for Computing and Media Studies, Kyoto University
著者所属
Research Institute for Information Technology, Kyushu University
著者所属
Graduate School of System Informatics, Kobe University
著者所属
Graduate School of Science Department of Geophysics, Tohoku University
著者所属(英)
en
Graduate School of Informatics, Kyoto University
著者所属(英)
en
Academic Center for Computing and Media Studies, Kyoto University
著者所属(英)
en
Academic Center for Computing and Media Studies, Kyoto University
著者所属(英)
en
Research Institute for Information Technology, Kyushu University
著者所属(英)
en
Graduate School of System Informatics, Kobe University
著者所属(英)
en
Graduate School of Science Department of Geophysics, Tohoku University
著者名 Haichao, Zhao

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Haichao, Zhao

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Keiichiro, Fukazawa

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Keiichiro, Fukazawa

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Takeshi, Iwashita

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Takeshi, Iwashita

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Takeshi, Nanri

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Takeshi, Nanri

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Yohei, Miyake

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Yohei, Miyake

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Yuto, Katoh

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Yuto, Katoh

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著者名(英) Haichao, Zhao

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en Haichao, Zhao

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Keiichiro, Fukazawa

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en Keiichiro, Fukazawa

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Takeshi, Iwashita

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en Takeshi, Iwashita

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Takeshi, Nanri

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en Takeshi, Nanri

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Yohei, Miyake

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Yuto, Katoh

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en Yuto, Katoh

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論文抄録
内容記述タイプ Other
内容記述 This paper presents the development of a Python interface for the Code-To-Code Adapter (CoToCoA) library, a framework designed for coupled computations that enables direct program-to-program communication without intermediate files. Considering CoToCoA's current support for C and Fortran, as well as its reliance on the MPI library for communication, this study aims to enhance its usability by integrating it with Python. To effectively integrate CoToCoA with Python, we explored two development approaches: direct development in Python and the use of ctypes to call CoToCoA's C functions from Python. Furthermore, we conducted performance evaluations focusing on CoToCoA's two types of data transfer methods to evaluate the efficiency of the developed Python interface. The newly developed Python interface enables the efficient transfer of data from C or Fortran-based simulation programs to Python, where it can be effectively analyzed or processed. This capability significantly enhances the practical utility of CoToCoA in computational science by enabling efficient data handling across programming languages.
論文抄録(英)
内容記述タイプ Other
内容記述 This paper presents the development of a Python interface for the Code-To-Code Adapter (CoToCoA) library, a framework designed for coupled computations that enables direct program-to-program communication without intermediate files. Considering CoToCoA's current support for C and Fortran, as well as its reliance on the MPI library for communication, this study aims to enhance its usability by integrating it with Python. To effectively integrate CoToCoA with Python, we explored two development approaches: direct development in Python and the use of ctypes to call CoToCoA's C functions from Python. Furthermore, we conducted performance evaluations focusing on CoToCoA's two types of data transfer methods to evaluate the efficiency of the developed Python interface. The newly developed Python interface enables the efficient transfer of data from C or Fortran-based simulation programs to Python, where it can be effectively analyzed or processed. This capability significantly enhances the practical utility of CoToCoA in computational science by enabling efficient data handling across programming languages.
書誌レコードID
収録物識別子タイプ NCID
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 2024-HPC-196, 号 4, p. 1-6, 発行日 2024-09-23
ISSN
収録物識別子タイプ ISSN
収録物識別子 2188-8841
Notice
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
出版者
言語 ja
出版者 情報処理学会
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