Lunes, 13 Marzo 2017 09:24

enerGyPU and enerGyPhi Monitor for Power Consumption and Performance Evaluation on Nvidia Tesla GPU and Intel Xeon Phi

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—The evaluation of performance and power consump-tion is a key step in the design of applications for large compu-tational systems as supercomputers and clusters (multicore andaccelerator nodes, multicore and coprocessor nodes, manycoreand accelerator nodes).

In these systems the developers must de-sign several experiments for workload characterization observingthe architectural implications when using different combinationsof computational resources such as number of GPU, number of cores for processing, number of cores for administration of GPU,number of MPI processes and thread affinity policy. It shouldalso engage factors as the clock frequency and memory usageas well select the combination of computational resources thatincreases the performance and minimizes the power consumption.This research proposes an integrated energy-aware scheme calledefficiently energetic acceleration (EEA) for large-scale scientificapplications running on heterogeneous architectures. This papershows the use of a monitoring tool with two components calledenerGyPU and enerGyPhi to recording EEA control factors inruntime on two environments: one cluster with multicore andaccelerator nodes (2-CPU/8-GPU) and one server with multiplecores and one coprocessor (2-CPU/1-MIC). These monitors allowto analyze multiple testing results under different parametercombinations to observe the EEA control factors that determinethe energy efficiency.

 Index Terms

—Energy efficiency, Energy-aware EEA schemeenerGyPU, enerGyPhi, Power capping technique, Performanceevaluation.

Visto 803 veces Modificado por última vez en Lunes, 13 Agosto 2018 18:55

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