Power will be the key limiter to system scalability as interconnection networks take up an increasingly significant portion of system power. In this paper, we propose an architectural leakage power modeling methodology that achieves 95-98 % accuracy agains
Figure6:LeakagepowersavingsunderLookahead-Singlepolicyfor64- itbu er.
networkarchitectures.
Bydelineatingthedesignspaceforpower-awarebu erpolicies,andexploringtheimpactofseveralsimplealterna-tives,wehopeourworkwillmotivatetheproposalofso-phisticatedpoliciesinthefuture.
Acknowledgments
TheauthorsaregratefultoK.FlautnerofUniversityofMichiganandS.KimofCarnegieMellonforprovidingde-tailedparametersofDrowsyCacheandGatedVddrespec-tively.AtPrinceton,wewishtothankHang-ShengWangforhishelpincharacterizingdynamicpowerusingOrion
Figure7:
LeakagepowersavingsunderLookahead-AggressiveandPredictivepoliciesfor64- itbu er.
Figure8:Averagelatencyunderdi erentpoliciesfor
GatedVddSRAMs.
andLiShangforassistancewiththePopNetnetworksimu-lator.ThisworkispartiallyfundedbyNSFCAREERgrantCCR-0237540.
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