Molecular Dynamics Simulations of Short-Range Force Systems on 1024-Node Hypercubes

S. Plimpton
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引用次数: 18

Abstract

Two parallel algorithms for classical molecular dynamics are presented. The first assigns each processor to a subset of particles; the second assigns each to a fixed region of 3d space. The algorithms are implemented on 1024-node hypercubes for problems characterized by short-range forces, diffusion (so that each particle’s neighbors change in time), and problem size ranging from 250 to 10000 particles. Timings for the algorithms on the 1024-node NCUBE/ten and the newer NCUBE 2 hypercubes are given. The latter is found to be competitive with a CRAY-XMP, running an optimized serial algorithm. For smaller problems the NCUBE 2 and CRAY-XMP are roughly the same; for larger ones the NCUBE 2 (with 1024 nodes) is up to twice as fast. Parallel efficiencies of the algorithms and communication parameters for the two hypercubes are also examined.
1024节点超立方体上短程力系统的分子动力学模拟
提出了经典分子动力学的两种并行算法。第一种方法将每个处理器分配给一个粒子子集;第二种方法是将每个人分配到三维空间的一个固定区域。这些算法在1024节点的超立方体上实现,用于具有短程力、扩散(因此每个粒子的邻居随时间变化)和问题大小从250到10000个粒子的问题。给出了算法在1024节点的NCUBE/ 10和较新的NCUBE 2超立方体上的时序。后者可以与运行优化串行算法的CRAY-XMP相竞争。对于较小的问题,NCUBE 2和CRAY-XMP大致相同;对于更大的节点,NCUBE 2(有1024个节点)的速度是前者的两倍。研究了两个超立方体算法的并行效率和通信参数。
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