4.3 Article

Porting WarpX to GPU-accelerated platforms

期刊

PARALLEL COMPUTING
卷 108, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.parco.2021.102833

关键词

Exascale Computing; Particle-in-cell methods; Accelerator modeling

资金

  1. U.S. Department of Energy's Office of Science [17-SC-20-SC]
  2. National Nuclear Security Administration [17-SC-20-SC]
  3. U.S. Department of Energy [DE-AC02-05CH11231, AC02-76SF00515, DE-AC52-07NA27344]
  4. DOE Office of Science User Facility [DE-AC05-00OR22725]

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据