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網膜神経系数理モデルを対象にした大規模シミュレーションの並列計算手法
https://kindai.repo.nii.ac.jp/records/5782
https://kindai.repo.nii.ac.jp/records/578266aa8368-79a5-47fa-89cf-32a5088082dc
名前 / ファイル | ライセンス | アクション |
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AN11153712-20140930-0035.pdf (726.8 kB)
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Item type | ☆紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2014-10-20 | |||||
タイトル | ||||||
タイトル | 網膜神経系数理モデルを対象にした大規模シミュレーションの並列計算手法 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | <Original Papers> A parallel computing method of large-scale simulations for a mathematical model of retinal neuron networks. | |||||
著者 |
西野, 誠
× 西野, 誠× 小濱, 剛× 吉田, 久 |
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言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
主題 | 並列計算, メッセージ通信, マルチスレッド処理, ハイブリッド並列処理 PRIMEHPC FX10, Parallel computing, Message passing, Multithread processing, Hybrid parallel processing |
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資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
著者(英) | ||||||
en | ||||||
Nishino, Makoto | ||||||
著者(英) | ||||||
en | ||||||
Kohama, Takeshi | ||||||
著者(英) | ||||||
en | ||||||
Yoshida, Hisashi | ||||||
著者 所属 | ||||||
近畿大学大学院生物理工学研究科電子システム情報工学専攻 | ||||||
著者 所属 | ||||||
近畿大学生物理工学部システム生命科学科 | ||||||
著者 所属 | ||||||
近畿大学生物理工学部システム生命科学科 | ||||||
著者所属(翻訳) | ||||||
Graduate School of Biology–Oriented Science and Technology, Kinki University | ||||||
著者所属(翻訳) | ||||||
Department of Computational Systems Biology, Faculty of Biology–Oriented Science and Technology, Kinki University | ||||||
著者所属(翻訳) | ||||||
Department of Computational Systems Biology, Faculty of Biology–Oriented Science and Technology, Kinki University | ||||||
版 | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
出版者 名前 | ||||||
出版者 | 近畿大学生物理工学部 | |||||
書誌情報 |
近畿大学生物理工学部紀要 en : Memoirs of the Faculty of Biology-Oriented Science and Technology of Kinki University 巻 34, p. 35-46, 発行日 2014-09-01 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 13427202 | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | [要旨] 本研究では, 周辺視野の特性を考慮した網膜数理モデルを対象に, 計算資源の制限の中で計算処理を最大限に効率化することを目的として, 種々の並列計算アルゴリズムを適用し, 富士通製並列計算機PRIMEHPC FX10と汎用のパーソナルコンピュータとの間で計算時間の比較を行った. その結果, 各種の神経細胞層を個別のモジュールとして扱うことで,メッセージ通信によるサイクリック分割とパイプライン通信が実装可能であり,微分方程式の回帰参照の問題が回避できることが示された. また, メッセージ通信が困難な部分にマルチスレッド並列を適用することにより, 効率的な並列処理が実現できた. これらのことから, FX10の性能を最大限に引き出すためには, MPI(Message Passing Interface)を用いたメッセージ通信と, マルチスレッド処理とのハイブリッド並列化が有効であり, これにより高効率で高速な並列計算が可能となることが示された. [Abstract] The purpose of this study is to develop effective methods to compute a mathematical model of the retina which considers peripheral properties of retinal cells in the restriction of computation resources. We compared the machine time with regard to several parallel processing algorithms between the Fujitsu PRIMEHPC FX10 supercomputer system and general personal computers. The results indicate that the implementation of cyclically divided blocks and a pipeline processing with a message passing interface, by dealing with each cell layer as a module, is able to avoid problems of the regression reference of calculation of differential equations. For program codes which are difficult to implement message passing interfaces, we obtained a practical solution by applying multithread processing instead. Furthermore, these results suggest that the performance of the FX10 system is maximized by using a hybrid parallel processing method with message passing interfaces and multithread processing. | |||||
フォーマット | ||||||
内容記述タイプ | Other | |||||
内容記述 | application/pdf |