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An Approximation Algorithm for Energy-Efficient Scheduling on A Chip Multiprocessor
124
Citations
21
References
2005
Year
EngineeringEnergy EfficiencyPower Optimization (Eda)Computer ArchitectureApproximate ComputingSystems EngineeringParallel ComputingPower-aware DesignPower-aware ComputingComputer EngineeringScheduling (Computing)Computer ScienceVoltage ScalingMinimum Energy ConsumptionEnergy ManagementReal-time Multiprocessor SystemParallel ProgrammingReal-time SystemsChip Multiprocessor ArchitecturePower-efficient ComputingA Chip Multiprocessor
In the recent decade, voltage scaling has become an attractive feature for many system component designs. In this paper we consider energy-efficient real-time task scheduling over a chip multiprocessor architecture. The objective is to schedule a set of frame-based tasks with the minimum energy consumption, where all tasks are ready at time 0 and share a common deadline. We show that such a minimization problem is NP-hard and then propose a 2.371-approximation algorithm. The strength of the proposed algorithm was demonstrated by a series of simulations, for which near optimal results were obtained.
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