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Deep DVS in FU Array by Covering Process Variations with Data-Path Auto-fix
https://ipsj.ixsq.nii.ac.jp/records/81863
https://ipsj.ixsq.nii.ac.jp/records/81863be6db905-3a69-4f01-b3d6-948edf7a0233
名前 / ファイル | ライセンス | アクション |
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Copyright (c) 2012 by the Information Processing Society of Japan
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オープンアクセス |
Item type | SIG Technical Reports(1) | |||||||
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公開日 | 2012-04-30 | |||||||
タイトル | ||||||||
タイトル | Deep DVS in FU Array by Covering Process Variations with Data-Path Auto-fix | |||||||
タイトル | ||||||||
言語 | en | |||||||
タイトル | Deep DVS in FU Array by Covering Process Variations with Data-Path Auto-fix | |||||||
言語 | ||||||||
言語 | eng | |||||||
キーワード | ||||||||
主題Scheme | Other | |||||||
主題 | 低消費電力 | |||||||
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 | ||||||||
Nara Institute of Science and Technology | ||||||||
著者所属 | ||||||||
Nara Institute of Science and Technology | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Nara Institute of Science and Technology | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Nara Institute of Science and Technology | ||||||||
著者名 |
Jun, Yao
× Jun, Yao
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著者名(英) |
Jun, Yao
× Jun, Yao
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論文抄録 | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | Process variability in advanced semiconductor technologies has become a major constraint for improving the working frequency, especially under voltage scaling. In this research, based on a full understanding of unit utilization in an FU array accelerator, we propose a method to auto-fix the execution hardware data-path so as to include units with tolerable process variations. This method can help apply a deep DVS to achieve a nearly optimal energy reduction which is usually not possible due to the worst case process variation. A preliminary simulation result indicates that even after an aggressive power-gating, a 21.9% energy reduction without any performance impact can still be achieved by avoiding adverse and using beneficial process variations. | |||||||
論文抄録(英) | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | Process variability in advanced semiconductor technologies has become a major constraint for improving the working frequency, especially under voltage scaling. In this research, based on a full understanding of unit utilization in an FU array accelerator, we propose a method to auto-fix the execution hardware data-path so as to include units with tolerable process variations. This method can help apply a deep DVS to achieve a nearly optimal energy reduction which is usually not possible due to the worst case process variation. A preliminary simulation result indicates that even after an aggressive power-gating, a 21.9% energy reduction without any performance impact can still be achieved by avoiding adverse and using beneficial process variations. | |||||||
書誌レコードID | ||||||||
収録物識別子タイプ | NCID | |||||||
収録物識別子 | AN10444176 | |||||||
書誌情報 |
研究報告システムソフトウェアとオペレーティング・システム(OS) 巻 2012-OS-121, 号 18, p. 1-9, 発行日 2012-04-30 |
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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 |