论文标题

优化交错的多方面表现

Optimizing Staggered Multigrid for Exascale performance

论文作者

Ayyar, Venkitesh, Brower, Richard, Clark, M. A., Wagner, Mathias, Weinberg, Evan

论文摘要

事实证明,自适应多机方法在晶格仪理论中的Wilson-Dirac求解器的关键速度方面非常成功。使用kähler-dirac预处理〜\ cite {brower:2018ymy}为交错的费米子开发的多机算法表现出了显着的成功。在这项工作中,我们在四个维度上讨论了这种交错的多网格算法的性能。我们还证明,将多偏换求解的某些组件卸载到多网格求解器上会导致峰会和Selene SuperComputers上现有的MILC Spectrum Spectrum Spectrum Spectrum工作流程的性能显着提高。

Adaptive multi-grid methods have proven very successful in dealing with critical slow down for the Wilson-Dirac solver in lattice gauge theory. Multi-grid algorithms developed for Staggered fermions using the Kähler-Dirac preconditioning~\cite{Brower:2018ymy} have shown remarkable success. In this work, we discuss the performance of this staggered multi-grid algorithm in four dimensions. We also demonstrate that offloading some components of a multi-shift solve to a multi-grid solver leads to a significant performance improvement in an existing MILC spectrum workflow on the Summit and Selene supercomputers.

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