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A fast, scalable method for the parallel evaluation of distance-limited pairwise particle interactions

机译:一种快速,可扩展的方法,用于并行评估距离受限的成对粒子相互作用

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摘要

Classical molecular dynamics simulations of biological macromolecules in explicitly modeled solvent typically require the evaluation of interactions between all pairs of atoms separated by no more than some distance R, with more distant interactions handled using some less expensive method. Performing such simulations for periods on the order of a millisecond is likely to require the use of massive parallelism. The extent to which such simulations can be efficiently parallelized, however, has historically been limited by the time required for interprocessor communication. This article introduces a new method for the parallel evaluation of distance-limited pairwise particle interactions that significantly reduces the amount of data transfer-red between processors by comparison with traditional methods. Specifically, the amount of data transfer-red into and out of a given processor scales as O(R-3/2 p(-1/2)), where p is the number of processors, and with constant factors that should yield a substantial performance advantage in practice. (c) 2005 Wiley Periodicals, Inc.
机译:在显式建模的溶剂中对生物大分子进行经典的分子动力学模拟通常需要评估所有相距不超过某个距离R的原子对之间的相互作用,并使用一些较便宜的方法处理更远的相互作用。对毫秒级的周期执行此类仿真可能需要使用大规模并行处理。但是,历史上,这种模拟可以有效并行化的程度受到处理器间通信所需时间的限制。本文介绍了一种用于并行评估距离受限的成对粒子相互作用的新方法,与传统方法相比,该方法大大减少了处理器之间的数据传输量。具体来说,传入和传出给定处理器的红色数据量按O(R-3 / 2 p(-1/2))进行缩放,其中p是处理器数量,并且具有应产生a的恒定因子。在实践中具有实质性的性能优势。 (c)2005年Wiley Periodicals,Inc.

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