MD-Bench:最先进的分子动力学算法的通用代理应用程序工具箱

R. Machado, Jan Eitzinger, H. Köstler, G. Wellein
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引用次数: 1

摘要

代理应用程序或迷你应用程序是简单的自包含基准代码,具有从实际应用程序中提取的与性能相关的内核。最初用于促进软硬件协同设计,它们是严肃的性能工程的关键成分,特别是在处理大规模生产代码时。MD-Bench是经典短程分子动力学领域的一种新型代理应用程序。与MD中现有的代理应用程序(例如miniMD和coMD)相比,它不像单个应用程序代码,而是实现了来自多个应用程序(目前为LAMMPS和GROMACS)的最先进算法。MD- bench源代码是可理解的,可扩展的,适合教学,基准测试和研究MD算法。主要的设计目标是透明和简单,开发人员可以对源代码进行修改,直到汇编级别。本文介绍了MD-Bench,解释了它的设计和结构,涵盖了实现的优化变体,并通过三个例子说明了它的使用方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MD-Bench: A generic proxy-app toolbox for state-of-the-art molecular dynamics algorithms
Proxy-apps, or mini-apps, are simple self-contained benchmark codes with performance-relevant kernels extracted from real applications. Initially used to facilitate software-hardware co-design, they are a crucial ingredient for serious performance engineering, especially when dealing with large-scale production codes. MD-Bench is a new proxy-app in the area of classical short-range molecular dynamics. In contrast to existing proxy-apps in MD (e.g. miniMD and coMD) it does not resemble a single application code, but implements state-of-the art algorithms from multiple applications (currently LAMMPS and GROMACS). The MD-Bench source code is understandable, extensible and suited for teaching, benchmarking and researching MD algorithms. Primary design goals are transparency and simplicity, a developer is able to tinker with the source code down to the assembly level. This paper introduces MD-Bench, explains its design and structure, covers implemented optimization variants, and illustrates its usage on three examples.
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