A massively parallel fast multipole algorithm in three dimensions

E. Lu, D. Okunbor
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引用次数: 25

Abstract

The simulation of many-body, many-particle systems has a wide range of applications in areas such as biophysics, chemistry, astrophysics, etc. It is known that the force calculation contributes 90% of the simulation time. This is mainly due to the fact that the total number of interactions in the force is O(N/sup 2/), where N is the number of particles in the system. The fast multipole algorithm proposed by Greengard and Rokhlin (1987) reduces the time complexity to O(N). In this paper, we design an efficient, parallel fast multipole algorithm in 3D. For portability, our parallel program is implemented using the Message Passing Interface. Is it possible to obtain high performance for a computationally-intensive application using a LAN of workstations? In this paper, we attempt to answer this question, which is commonly asked by those researchers who have no access to parallel computers or supercomputers.
三维大规模并行快速多极算法
多体、多粒子系统的模拟在生物物理学、化学、天体物理学等领域有着广泛的应用。已知力计算占仿真时间的90%。这主要是由于力中相互作用的总数为0 (N/sup 2/),其中N为系统中的粒子数。Greengard和Rokhlin(1987)提出的快速多极算法将时间复杂度降低到O(N)。本文设计了一种高效、并行、快速的三维多极子算法。为了可移植性,我们的并行程序使用消息传递接口实现。是否有可能使用工作站的局域网为计算密集型应用程序获得高性能?在本文中,我们试图回答这个问题,这是那些没有机会使用并行计算机或超级计算机的研究人员经常问的问题。
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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