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  1. A500 情報学部/情報学研究科・情報文化学部・情報科学研究科
  2. A500a 雑誌掲載論文
  3. 学術雑誌

Analyzing and optimizing energy efficiency of algorithms on DVS systems A first step towards algorithmic energy minimization

http://hdl.handle.net/2237/13971
http://hdl.handle.net/2237/13971
883c0f24-ec25-4af7-96db-8197a0e669b2
名前 / ファイル ライセンス アクション
aspdac2009.pdf aspdac2009.pdf (286.4 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2010-08-05
タイトル
タイトル Analyzing and optimizing energy efficiency of algorithms on DVS systems A first step towards algorithmic energy minimization
言語 en
著者 Yokoyama, Tetsuo

× Yokoyama, Tetsuo

WEKO 38383

en Yokoyama, Tetsuo

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Gang, Zeng

× Gang, Zeng

WEKO 38384

en Gang, Zeng

Search repository
Tomiyama, Hiroyuki

× Tomiyama, Hiroyuki

WEKO 38385

en Tomiyama, Hiroyuki

Search repository
Takada, Hiroaki

× Takada, Hiroaki

WEKO 38386

en Takada, Hiroaki

Search repository
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利
言語 en
権利情報 ©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
抄録
内容記述 The energy efficiency at the algorithmic level on DVS systems and its analysis and optimization methods are presented. Given a problem the most energy efficient algorithm is not uniquely determined but dependent on multiple factors, including intratask dynamic voltage scaling (IntraDVS) policies, the size of intermediate data structure, and the size of inputs. We show that at the algorithmic level principles behind energy optimization and performance optimization are not identical. We propose a metric for evaluating optimal energy efficiency of static voltage scaling (SVS) and a few new effective IntraDVS policies employing data flow information. Experimental results on sorting algorithms show the existence of several tradeoffs in terms of energy consumption. Transforming algorithms by employing problem specific knowledge and data flow information successfully improves their energy efficiency.
言語 en
内容記述タイプ Abstract
出版者
言語 en
出版者 IEEE
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/ASPDAC.2009.4796566
ISBN
関連タイプ isPartOf
識別子タイプ ISBN
関連識別子 978-1-4244-2748-2
書誌情報 en : 2009 Asia and South Pacific Design Automation Conference (ASP-DAC 2009)

p. 727-732, 発行日 2009-01-19
フォーマット
application/pdf
著者版フラグ
値 publisher
URI
識別子 http://hdl.handle.net/2237/13971
識別子タイプ HDL
URI
識別子 http://dx.doi.org/10.1109/ASPDAC.2009.4796566
識別子タイプ DOI
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