Publication | Closed Access
Fine-grained sleep transistor sizing algorithm for leakage power minimization
30
Citations
14
References
2007
Year
Hardware SecurityLow-power ElectronicsElectrical EngineeringPower-aware ComputingEngineeringLeakage Power MinimizationSleep Transistor SizeEnergy EfficiencyPower Optimization (Eda)Computer EngineeringComputer ArchitectureSleep Transistor NetworksPower-efficient ComputingPower ElectronicsMicroelectronicsPower-aware DesignPower GatingPower Management
Power gating is one of the most effective ways to reduce leakage power. In this paper, we introduce a new relationship among Maximum Instantaneous Current, IR drops and sleep transistor networks from a temporal viewpoint. Based on this relationship, we propose an algorithm to reduce the total sizes of sleep transistors in Distributed Sleep Transistor Network designs. On average, the proposed method can achieve 21% reduction in the sleep transistor size.
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