Publication | Closed Access
An empirical survey of performance and energy efficiency variation on Intel processors
36
Citations
16
References
2017
Year
Unknown Venue
EngineeringEnergy EfficiencyComputer ArchitectureIntel ProcessorsProcessor ArchitectureProcessor PerformanceHardware SecurityEmpirical SurveyEnergy Efficiency VariationParallel ComputingManycore ProcessorHybrid Hpc WorkloadPower-aware ComputingXeon PhiComputer EngineeringComputer SciencePower EfficiencyTraditional Hpc PerformanceMany-core ArchitectureParallel ProgrammingPower-efficient ComputingProcessor Performance Variation
Traditional HPC performance and energy characterization approaches assume homogeneity and predictability in the performance of the target processor platform. Consequently, processor performance variation has been considered to be a secondary issue in the broader problem of performance characterization. In this work, we present an empirical survey of the variation in processor performance and energy efficiency on several generations of HPC-grade Intel processors. Our study shows that, compared to the previous generation of Intel processors, the problem of performance variation has become worse on more recent generation of Intel processors. Specifically, the performance variation across processors on a large-scale production HPC cluster at LLNL has increased to 20% and the run-to-run variation in the performance of individual processors has increased to 15%. We show that this variation is further magnified under a hardware-enforced power constraint, potentially due to the increase in number of cores, inconsistencies in the chip manufacturing process and their combined impact on processor's energy management functionality. Our experimentation with a hardware-enforced processor power constraint shows that the variation in processor performance and energy efficiency has increased by up to 4x on the latest Intel processors.
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