Blue Matter: Approaching the Limits of Concurrency for Classical Molecular Dynamics

B. Fitch, A. Rayshubskiy, M. Eleftheriou, T. Ward, M. Giampapa, M. Pitman, R. Germain
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引用次数: 55

Abstract

This paper describes a novel spatial-force decomposition for N-body simulations for which we observe O(sqrt(p)) communication scaling. This has enabled Blue Matter to approach the effective limits of concurrency for molecular dynamics using particle-mesh (FFT-based) methods for handling electrostatic interactions. Using this decomposition, Blue Matter running on Blue Gene/L has achieved simulation rates in excess of 1000 time steps per second and demonstrated significant speed-ups to O(1) atom per node. Blue Matter employs a communicating sequential process (CSP) style model with application communication state machines compiled to hardware interfaces. The scalability achieved has enabled methodologically rigorous biomolecular simulations on biologically interesting systems, such as membrane-bound proteins, whose time scales dwarf previous work on those systems. Major scaling improvements require exploration of alternative algorithms for treating the long range electrostatics
蓝物质:接近经典分子动力学并发性的极限
本文描述了一种用于n体模拟的新型空间力分解,我们观察到O(sqrt(p))通信缩放。这使得蓝物质能够使用粒子网格(基于fft的)方法来处理静电相互作用,从而接近分子动力学并发性的有效限制。使用这种分解,在Blue Gene/L上运行的Blue Matter已经实现了每秒超过1000个时间步长的模拟速率,并证明了每个节点0(1)个原子的显著加速。Blue Matter采用通信顺序过程(CSP)风格模型,其中应用程序通信状态机被编译为硬件接口。所取得的可扩展性使得在生物学上有趣的系统(如膜结合蛋白)上进行方法上严格的生物分子模拟成为可能,其时间尺度使这些系统的先前工作相形见绌。主要的缩放改进需要探索处理远距离静电的替代算法
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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