Parallel Discrete Event Simulation of Molecular Dynamics Through Event-Based Decomposition

M. Herbordt, Md. Ashfaquzzaman Khan, T. Dean
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引用次数: 13

Abstract

Molecular dynamics simulation based on discrete event simulation (DMD) is emerging as an alternative to time-step driven molecular dynamics (MD). DMD uses simplified discretized models, enabling simulations to be advanced by event, with a resulting performance increase of several orders of magnitude. Even so, DMD is compute bound. Moreover, unlike MD, causality issues make DMD difficult to scale. Here we present a microarchitecture-inspired parallel algorithm for DMD: speculative execution enables multithreading, while in-order commitment ensures correctness. Our initial not-yet optimized implementation obtains scalability for a multicore processor when running realistic simulation models.
基于事件分解的分子动力学并行离散事件模拟
基于离散事件模拟(DMD)的分子动力学模拟是时间步长驱动分子动力学(MD)的一种替代方法。DMD使用简化的离散模型,使模拟能够按事件推进,从而使性能提高几个数量级。即便如此,DMD也是计算界。此外,与MD不同的是,因果关系问题使DMD难以衡量。在这里,我们提出了一种微架构启发的DMD并行算法:推测执行支持多线程,而顺序提交确保正确性。我们最初的尚未优化的实现在运行真实的仿真模型时获得了多核处理器的可扩展性。
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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