Journal
PARALLEL COMPUTING
Volume 108, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.parco.2021.102833
Keywords
Exascale Computing; Particle-in-cell methods; Accelerator modeling
Categories
Funding
- U.S. Department of Energy's Office of Science [17-SC-20-SC]
- National Nuclear Security Administration [17-SC-20-SC]
- U.S. Department of Energy [DE-AC02-05CH11231, AC02-76SF00515, DE-AC52-07NA27344]
- DOE Office of Science User Facility [DE-AC05-00OR22725]
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WarpX is a general-purpose electromagnetic particle-in-cell code that was originally designed to run on multi-core CPU architectures. Through the strategy based on the AMReX library, it can now utilize GPU-accelerated nodes on OLCF's Summit supercomputer. The research summarizes the encountered challenges, lessons learned, and current performance results on relevant benchmark problems.
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, based on the AMReX library, 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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