Hybrid aggregated-vector algorithm for efficient parallelization of Fast Multipole Method

A. Das, D. Gope
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引用次数: 1

Abstract

An efficient parallelization algorithm for the Fast Multipole Method which aims to alleviate the parallelization bottleneck arising from lower job-count closer to root levels is presented. An electrostatic problem of 12 million non-uniformly distributed mesh elements is solved with 80-85% parallel efficiency in matrix setup and matrix-vector product using 60GB and 16 threads on shared memory architecture.
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快速多极法高效并行化的混合聚合向量算法
提出了一种快速多极方法的高效并行化算法,旨在缓解由于接近根层次的作业数较低而导致的并行化瓶颈。在60GB、16线程的共享内存架构下,以80-85%的并行效率解决了1200万个非均匀分布网格单元的静电问题。
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