학술논문

Porting WarpX to GPU-accelerated platforms
Document Type
article
Source
Subject
Information and Computing Sciences
Applied Computing
Exascale Computing
Particle-in-cell methods
Accelerator modeling
physics.comp-ph
cs.DC
physics.acc-ph
ATAP-AMP
ATAP-GENERAL
Distributed Computing
Cognitive Sciences
Distributed computing and systems software
Language
Abstract
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.