Portable multi-node LQCD Monte Carlo simulations using OpenACC

C. Bonati, E. Calore, M. D’Elia, M. Mesiti, F. Negro, F. Sanfilippo, S. Schifano, G. Silvi, R. Tripiccione
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引用次数: 7

Abstract

This paper describes a state-of-the-art parallel Lattice QCD Monte Carlo code for staggered fermions, purposely designed to be portable across different computer architectures, including GPUs and commodity CPUs. Portability is achieved using the OpenACC parallel programming model, used to develop a code that can be compiled for several processor architectures. The paper focuses on parallelization on multiple computing nodes using OpenACC to manage parallelism within the node, and OpenMPI to manage parallelism among the nodes. We first discuss the available strategies to be adopted to maximize performances, we then describe selected relevant details of the code, and finally measure the level of performance and scaling-performance that we are able to achieve. The work focuses mainly on GPUs, which offer a significantly high level of performances for this application, but also compares with results measured on other processors.
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便携式多节点LQCD蒙特卡罗模拟使用OpenACC
本文描述了一种用于交错费米子的最先进的并行晶格QCD蒙特卡罗代码,旨在跨不同的计算机体系结构(包括gpu和商用cpu)进行移植。可移植性是通过使用OpenACC并行编程模型实现的,该模型用于开发可在多个处理器体系结构上编译的代码。本文重点研究了多计算节点的并行化,使用OpenACC管理节点内的并行性,使用OpenMPI管理节点间的并行性。我们首先讨论可用于最大化性能的可用策略,然后描述代码的选定相关细节,最后度量我们能够实现的性能水平和可伸缩性能。这项工作主要集中在gpu上,它为这个应用程序提供了非常高的性能水平,但也与其他处理器上测量的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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