Publication | Closed Access
Finding the limits of power-constrained application performance
43
Citations
21
References
2015
Year
Unknown Venue
EngineeringEnergy EfficiencyPower Optimization (Eda)Computer ArchitecturePower OptimizationTheoretical Upper BoundSystems EngineeringExascale SystemsParallel ComputingPower-aware SoftwarePower-aware ComputingHybrid ProgrammingComputer EngineeringComputer SciencePower BoundsEnergy ManagementPower-constrained Application PerformanceParallel ProgrammingPower-efficient Computing
As we approach exascale systems, power is turning from an optimization goal to a critical operating constraint. With power bounds imposed by both stakeholders and the limitations of existing infrastructure, we need to develop new techniques that work with limited power to extract maximum performance. In this paper, we explore this area and provide an approach to find the theoretical upper bound of computational performance on a per-application basis in hybrid MPI + OpenMP applications.
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