In this contribution we measure the computing and energy performance of the recently developed DAVIDE HPC-cluster, a massively parallel machine based on IBM POWER CPUs and NVIDIA Pascal GPUs. We use as an application benchmark the OpenStaPLE Lattice QCD code, written using the OpenACC programming framework. Our code exploits the computing performance of GPUs through the use of OpenACC directives, and uses OpenMPI to manage the parallelism among several GPUs. We analyze the speed-up and the aggregate performance of the code, and try to identify possible bottlenecks that harm performances. Using the power monitor tools available on DAVIDE we also discuss some energy aspects pointing out the best trade-offs between time-to-solution and energy-to-solution.

Early Experience on Running OpenStaPLE on DAVIDE

Calore E.
;
Schifano S. F.;Tripiccione R.
Ultimo
2018

Abstract

In this contribution we measure the computing and energy performance of the recently developed DAVIDE HPC-cluster, a massively parallel machine based on IBM POWER CPUs and NVIDIA Pascal GPUs. We use as an application benchmark the OpenStaPLE Lattice QCD code, written using the OpenACC programming framework. Our code exploits the computing performance of GPUs through the use of OpenACC directives, and uses OpenMPI to manage the parallelism among several GPUs. We analyze the speed-up and the aggregate performance of the code, and try to identify possible bottlenecks that harm performances. Using the power monitor tools available on DAVIDE we also discuss some energy aspects pointing out the best trade-offs between time-to-solution and energy-to-solution.
978-3-030-02464-2
978-3-030-02465-9
LQCD; NVLink; OpenACC; POWER8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2405280
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