Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/769
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dc.contributor.authorZhao, Yingchaoen_US
dc.contributor.otherFu, C.-
dc.contributor.otherLi, M.-
dc.contributor.otherXue, C. J.-
dc.date.accessioned2021-07-06T06:50:39Z-
dc.date.available2021-07-06T06:50:39Z-
dc.date.issued2015-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/769-
dc.description.abstractReducing energy consumption is a critical problem in most of the computing systems today. This paper focuses on reducing the energy consumption of the shared main memory in multi-core processors by putting it into sleep state when all the cores are idle. Based on this idea, this work presents systematic analysis of different assignment and scheduling models and proposes a series of scheduling schemes to maximize the common idle time of all cores. An optimal scheduling scheme is proposed assuming the number of cores is unbounded. When the number of cores is bounded, an efficient heuristic algorithm is proposed. The experimental results show that the heuristic algorithm works efficiently and can save as much as 25.6% memory energy compared to a conventional multi-core scheduling scheme.en_US
dc.language.isoenen_US
dc.titleMaximizing common idle time on multi-core processors with shared memoryen_US
dc.typeconference proceedingsen_US
dc.relation.conferenceThe 2015 Design, Automation & Test in Europe (DATE): Conference & Exhibitionen_US
dc.identifier.doi10.7873/DATE.2015.0739-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.isbn9783981537048-
dc.description.startpage900-
dc.description.endpage903-
dc.cihe.affiliatedYes-
item.languageiso639-1en-
item.openairetypeconference proceedings-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.cerifentitytypePublications-
crisitem.author.deptSchool of Computing and Information Sciences-
crisitem.author.orcid0000-0001-8362-6735-
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