Publication | Closed Access
Low energy memory and register allocation using network flow
64
Citations
17
References
1997
Year
Unknown Venue
EngineeringEnergy EfficiencyComputer ArchitectureEstimatedenergy ImprovementsPolynomial TimeMulti-channel Memory ArchitectureHigh-performance ArchitectureEnergy OptimizationSystems EngineeringParallel ComputingLow Energy MemoryEnergy NetworkNetwork FlowsComputer EngineeringComputer ScienceMemory ArchitectureSmart GridEnergy ManagementMinimum Energy DissipationsolutionsParallel ProgrammingPower-efficient ComputingEnergy-efficient Networking
This paper presents for the first time low energy simultaneousmemory and register allocation. A minimum cost network flowapproach is used to efficiently solve for minimum energy dissipationsolutions in polynomial time. Results show that estimatedenergy improvements of 1.4 to 2.5 times over previous researchare obtained. This research is important for industry since energydissipation is minimized without requiring an increase in cost.
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