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dc.contributor.authorYeh, Chang-Chingen_US
dc.contributor.authorChang, Kuei-Chungen_US
dc.contributor.authorChen, Tien-Fuen_US
dc.contributor.authorYeh, Chingweien_US
dc.date.accessioned2014-12-08T15:20:44Z-
dc.date.available2014-12-08T15:20:44Z-
dc.date.issued2011-10-01en_US
dc.identifier.issn1544-3566en_US
dc.identifier.urihttp://dx.doi.org/10.1145/2019608.2019615en_US
dc.identifier.urihttp://hdl.handle.net/11536/14755-
dc.description.abstractPower gating is an effective technique for reducing leakage power in deep submicron CMOS technology. Microarchitectural techniques for power gating of functional units have been developed by detecting suitable idle regions and turning them off to reduce leakage energy consumption; however, wakeup of functional units is needed when instructions are ready for execution such that wakeup overhead is naturally incurred. This study presents time-based power gating with reference pre-wakeup (PGRP), a novel predictive strategy that detects suitable idle periods for power gating and then enables pre-wakeup of needed functional units for avoiding wakeup overhead. The key insight is that most wakeups are repeated due to program locality. Thus, the pre-wakeup predictor learns the wakeup events and selects which prior branch instruction can provide early wakeup (wakeup patterns are visible); these information are then used to adequately prepare available functional units for instruction execution. Simulation results with benchmarks from SPEC2000 applications show that substantial leakage energy reduction with negligible performance degradation (0.38% on average) is worthwhile.en_US
dc.language.isoen_USen_US
dc.subjectDesignen_US
dc.subjectPerformanceen_US
dc.subjectLow poweren_US
dc.subjectleakage-power reductionen_US
dc.subjectpower gatingen_US
dc.titleMaintaining Performance on Power Gating of Microprocessor Functional Units by Using a Predictive Pre-Wakeup Strategyen_US
dc.typeArticleen_US
dc.identifier.doi10.1145/2019608.2019615en_US
dc.identifier.journalACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATIONen_US
dc.citation.volume8en_US
dc.citation.issue3en_US
dc.citation.epageen_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000296863800007-
dc.citation.woscount0-
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