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Porting WarpX to GPU-accelerated platforms

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arxiv 2101.12149 v2 pith:RXXGWOUR submitted 2021-01-28 physics.comp-ph cs.DCphysics.acc-ph

A. Myers , A. Almgren , L. D. Amorim , J. Bell , L. Fedeli , L. Ge , K. Gott , D. P. Grote
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M. Hogan A. Huebl R. Jambunathan R. Lehe C. Ng M. Rowan O. Shapoval M. Thévenet J.-L. Vay H. Vincenti E. Yang N. Zaïm W. Zhang Y. Zhao E. Zoni
This is my paper · ORCID
classification physics.comp-phcs.DCphysics.acc-ph
keywords warpxgpu-acceleratedstrategyallowarchitecturesaurorabelievebenchmark
verification ladder T0 review T1 audit T2 compute T3 formal
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WarpX is a general purpose electromagnetic particle-in-cell code that was originally designed to run on many-core CPU architectures. We describe the strategy followed to allow WarpX to use the GPU-accelerated nodes on OLCF's Summit supercomputer, a strategy we believe will extend to the upcoming machines Frontier and Aurora. We summarize the challenges encountered, lessons learned, and give current performance results on a series of relevant benchmark problems.

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