快速多极方法中数据扩散通信模型的消息传递实现:大规模生物分子模拟。

IF 0.8 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jakub Kurzak, B Montgomery Pettitt
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引用次数: 1

摘要

生物分子模拟需要越来越高效的并行代码。提出了一种基于多对多通信模式的不规则问题的高效通信算法。该算法使用分布式存储机器上的消息传递来开发,并假设对互连拓扑有明确的了解。该算法采用任意互连拓扑结构,最大限度地提高了处理器间通信的局部性,同时考虑了多处理器节点。该解决方案被纳入我们用于分子动力学模拟的具有周期性边界条件的快速多极方法的实现中,但我们相信它可以推广到许多展示多对多通信模式的算法。我们证明了一个不规则的算法可以被迫表现得像一个收缩算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Message-passing implementation of the data diffusion communication model in fast multipole methods: large scale biomolecular simulations.

Biomolecular simulations require increasingly efficient parallel codes. We present an efficient communication algorithm for irregular problems exhibiting an all-to-many communication pattern. The algorithm is developed using message passing on distributed memory machines and assumes explicit knowledge of the interconnection topology. The algorithm maximizes locality of interprocessor communication by adopting to an arbitrary interconnection topology and at the same time takes multiprocessor nodes into account. The solution is incorporated into our implementation of the fast multipole method with periodic boundary conditions used for molecular dynamics simulations, but we believe it generalizes to many algorithms demonstrating an all-to-many communication pattern. We show that an irregular algorithm can be forced to behave like a systolic algorithm.

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来源期刊
Journal of Algorithms & Computational Technology
Journal of Algorithms & Computational Technology COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
1.70
自引率
0.00%
发文量
8
审稿时长
15 weeks
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