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dc.contributor.authorSalami, Bagher
dc.contributor.authorNoori, Hamid
dc.contributor.authorMadipour, Farhad
dc.contributor.authorBaharani, Mohammadreza
dc.date.accessioned2016-11-06T22:01:05Z
dc.date.available2016-11-06T22:01:05Z
dc.date.issued2016-03-30
dc.identifier.urihttps://hdl.handle.net/10652/3596
dc.description.abstractThe advances in silicon process technology have made it possible to have processors with larger number of cores. The increment of cores number has been hindered by increasing power consumption and heat dissipation due to high power expenditure in a small area die size. The high temperature can cause degradation in performance, reliability, transistor ageing, transition speed and increase in leakage current. In this paper, we present a method which considers different thermal behavior of cores and uses both physical sensors and performance counters simultaneously to improve thermal management of both SMT multi-core processors with a physical sensor per core and Non-SMT multi-core processors with only one physical sensor for the processor. The experimental results indicate that our technique can significantly decrease the average and peak temperature in most cases compared to Linux standard scheduler, and two well-known thermal management techniques: PDTM, and TAS.en_NZ
dc.language.isoenen_NZ
dc.publisherElsevieren_NZ
dc.rightsAll rights reserveden_NZ
dc.subjectdynamic thermal managementen_NZ
dc.subjectmulti-core processorsen_NZ
dc.subjecttask migrationen_NZ
dc.subjectdynamic voltage and frequency scaling (DVFS)en_NZ
dc.titlePhysical-aware predictive dynamic thermal management of multi-core processorsen_NZ
dc.typeJournal Articleen_NZ
dc.rights.holderElservieren_NZ
dc.identifier.doidoi:10.1016/j.jpdc.2016.03.008en_NZ
dc.subject.marsden090604 Microelectronics and Integrated Circuitsen_NZ
dc.identifier.bibliographicCitationSalami, B., Noori, H., Mahdipour, F., & Baharani, M. (2016). Physical-aware predictive dynamic thermal management of multi-core processors. Journal of Parallel and Distributed Computing, 95, pp.42-56. doi:10.1016/j.jpdc.2016.03.008en_NZ
unitec.institutionUnitec Institute of Technologyen_NZ
unitec.institutionFerdowsi University of Mashhad (Mashhad, Iran)en_NZ
unitec.institutionKyushu University (Fukuoka, Japan)en_NZ
unitec.institutionUniversity of Tehran (Tehran, Iran)en_NZ
unitec.institutionInstitute for Research in Fundamental Sciences (IPM) (Tehran, Iran)en_NZ
unitec.publication.spage42en_NZ
unitec.publication.lpage56en_NZ
unitec.publication.volume95en_NZ
unitec.publication.titleJournal of Parallel and Distributed Computingen_NZ
unitec.peerreviewedyesen_NZ
dc.contributor.affiliationFerdowsi University of Mashhad (Mashhad, Iran)en_NZ
dc.contributor.affiliationKyushu University (Fukuoka, Japan)en_NZ
dc.contributor.affiliationUniversity of Tehran (Tehran, Iran)en_NZ
dc.contributor.affiliationInstitute for Research in Fundamental Sciences (IPM) (Tehran, Iran)en_NZ
unitec.identifier.roms59459en_NZ
unitec.institution.studyareaComputing


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