Power Minimization for Dual- and Triple-Supply Digital Circuits via Integer Linear Programming

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dc.contributor.authorKyung, Chong-Minko
dc.contributor.authorAhn, Ki-Yongko
dc.date.accessioned2013-03-09T05:29:06Z-
dc.date.available2013-03-09T05:29:06Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2009-09-
dc.identifier.citationIEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v.E92A, pp.2318 - 2325-
dc.identifier.issn0916-8508-
dc.identifier.urihttp://hdl.handle.net/10203/95486-
dc.description.abstractThis paper proposes an Integer Linear Programming (ILP)-based power minimization method by partitioning into regions, first, with three different V(DD)'s(PM3V), and, secondly, with two different V(DD)'s(PM2V). To reduce the solving time of triple-V(DD) case (PM3V), we also proposed a partitioned ILP method(p-PM3V). The proposed method provides 29% power saving on the average in the case of triple-V(DD) compared to the case of single V(DD). Power reduction of PM3V compared to Clustered Voltage Scaling (CVS) was about 18%. Compared to the un-partitioned ILP formulation(PM3V), the partitioned ILP method(p-PM3V) reduced the total solution time by 46% at the cost of additional power consumption within 1.3%.-
dc.languageEnglish-
dc.publisherIEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG-
dc.titlePower Minimization for Dual- and Triple-Supply Digital Circuits via Integer Linear Programming-
dc.typeArticle-
dc.identifier.wosid000272393900020-
dc.identifier.scopusid2-s2.0-84883851560-
dc.type.rimsART-
dc.citation.volumeE92A-
dc.citation.beginningpage2318-
dc.citation.endingpage2325-
dc.citation.publicationnameIEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES-
dc.identifier.doi10.1587/transfun.E92.A.2318-
dc.contributor.localauthorKyung, Chong-Min-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorsystem on chip-
dc.subject.keywordAuthorlow power design-
dc.subject.keywordAuthorpartitioning-
dc.subject.keywordAuthorinteger linear programming-
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