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dc.contributor.authorChang, Po-Chunen_US
dc.contributor.authorWu, I-Weien_US
dc.contributor.authorShann, Jyh-Jiunen_US
dc.contributor.authorChung, Chung-Pingen_US
dc.date.accessioned2014-12-08T15:46:46Z-
dc.date.available2014-12-08T15:46:46Z-
dc.date.issued2008en_US
dc.identifier.isbn978-1-60558-115-6en_US
dc.identifier.issn0738-100Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/31464-
dc.description.abstractIn demand of more computing power and less energy use, multiprocessor with power management facility emerges in embedded system design recently. Dynamic Voltage Scaling is such a facility that varies clock speed and supply voltage to save more energy. In this paper, we propose ETAHM to allocate tasks on a target multiprocessor system. In pursuit of global optimal solution, it mixes task scheduling, mapping and DVS utilization in one phase and couples ant colony optimization algorithm. Extensive experiments show ETAHM could save 22.71% more energy than CASPER [1], a state-of-the-art integrated framework that tackles the identical problem with genetic algorithm instead.en_US
dc.language.isoen_USen_US
dc.subjecttask schedulingen_US
dc.subjectDVS multiprocessor systemen_US
dc.titleETAHM: An energy-aware task allocation algorithm for heterogeneous multiprocessoren_US
dc.typeArticleen_US
dc.identifier.journal2008 45TH ACM/IEEE DESIGN AUTOMATION CONFERENCE, VOLS 1 AND 2en_US
dc.citation.spage776en_US
dc.citation.epage779en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000258930200155-
Appears in Collections:Conferences Paper