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Automatic Pipeline Construction Focused on Similarity of Rate Law Functions for an FPGA-based Biochemical Simulator
https://ipsj.ixsq.nii.ac.jp/records/70259
https://ipsj.ixsq.nii.ac.jp/records/70259ff67e0c6-0112-4f20-9199-0d104f7cc569
名前 / ファイル | ライセンス | アクション |
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Copyright (c) 2010 by the Information Processing Society of Japan
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オープンアクセス |
Item type | Trans(1) | |||||||
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公開日 | 2010-08-16 | |||||||
タイトル | ||||||||
タイトル | Automatic Pipeline Construction Focused on Similarity of Rate Law Functions for an FPGA-based Biochemical Simulator | |||||||
タイトル | ||||||||
言語 | en | |||||||
タイトル | Automatic Pipeline Construction Focused on Similarity of Rate Law Functions for an FPGA-based Biochemical Simulator | |||||||
言語 | ||||||||
言語 | eng | |||||||
キーワード | ||||||||
主題Scheme | Other | |||||||
主題 | Behavioral Area Optimization | |||||||
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 | journal article | |||||||
著者所属 | ||||||||
Nagasaki University | ||||||||
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Nagasaki University | ||||||||
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Nagasaki University | ||||||||
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Nagasaki University | ||||||||
著者所属 | ||||||||
Seikei University | ||||||||
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Doshisha University | ||||||||
著者所属 | ||||||||
Keio University | ||||||||
著者所属 | ||||||||
Keio University | ||||||||
著者所属 | ||||||||
Keio University | ||||||||
著者所属 | ||||||||
Keio University | ||||||||
著者所属 | ||||||||
Nagasaki University | ||||||||
著者所属 | ||||||||
Nagasaki University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Nagasaki University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Nagasaki University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Nagasaki University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Nagasaki University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Seikei University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Doshisha University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Keio University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Keio University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Keio University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Keio University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Nagasaki University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Nagasaki University | ||||||||
著者名 |
Hideki, Yamada
Yui, Ogawa
Tomonori, Ooya
Tomoya, Ishimori
Yasunori, Osana
Masato, Yoshimi
Yuri, Nishikawa
Akira, Funahashi
Noriko, Hiroi
Hideharu, Amano
Yuichiro, Shibata
Kiyoshi, Oguri
× Hideki, Yamada Yui, Ogawa Tomonori, Ooya Tomoya, Ishimori Yasunori, Osana Masato, Yoshimi Yuri, Nishikawa Akira, Funahashi Noriko, Hiroi Hideharu, Amano Yuichiro, Shibata Kiyoshi, Oguri
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著者名(英) |
Hideki, Yamada
Yui, Ogawa
Tomonori, Ooya
Tomoya, Ishimori
Yasunori, Osana
Masato, Yoshimi
Yuri, Nishikawa
Akira, Funahashi
Noriko, Hiroi
Hideharu, Amano
Yuichiro, Shibata
Kiyoshi, Oguri
× Hideki, Yamada Yui, Ogawa Tomonori, Ooya Tomoya, Ishimori Yasunori, Osana Masato, Yoshimi Yuri, Nishikawa Akira, Funahashi Noriko, Hiroi Hideharu, Amano Yuichiro, Shibata Kiyoshi, Oguri
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論文抄録 | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | For FPGA-based scientific simulation systems, hardware design technique that can reduce required amount of hardware resources is a key issue, since the size of simulation target is often limited by the size of the FPGA. Focusing on FPGA-based biochemical simulation, this paper proposes hardware design methodology which finds and combines common datapath for similar rate law functions appeared in simulation target models, so as to generate area-effective pipelined hardware modules. In addition, similarity-based clustering techniques of rate law functions are also presented in order to alleviate negative effects on performance for combined pipelines. Empirical evaluation with a practical biochemical model reveals that our method enables the simulation with 66% of the original hardware resources at a reasonable cost of 20% performance overhead. | |||||||
論文抄録(英) | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | For FPGA-based scientific simulation systems, hardware design technique that can reduce required amount of hardware resources is a key issue, since the size of simulation target is often limited by the size of the FPGA. Focusing on FPGA-based biochemical simulation, this paper proposes hardware design methodology which finds and combines common datapath for similar rate law functions appeared in simulation target models, so as to generate area-effective pipelined hardware modules. In addition, similarity-based clustering techniques of rate law functions are also presented in order to alleviate negative effects on performance for combined pipelines. Empirical evaluation with a practical biochemical model reveals that our method enables the simulation with 66% of the original hardware resources at a reasonable cost of 20% performance overhead. | |||||||
書誌レコードID | ||||||||
収録物識別子タイプ | NCID | |||||||
収録物識別子 | AA12394951 | |||||||
書誌情報 |
IPSJ Transactions on System LSI Design Methodology(TSLDM) 巻 3, p. 244-256, 発行日 2010-08-16 |
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ISSN | ||||||||
収録物識別子タイプ | ISSN | |||||||
収録物識別子 | 1882-6687 | |||||||
出版者 | ||||||||
言語 | ja | |||||||
出版者 | 情報処理学会 |