42 TFlops hierarchical N-body simulations on GPUs with applications in both astrophysics and turbulence

T. Hamada, T. Narumi, Rio Yokota, K. Yasuoka, Keigo Nitadori, M. Taiji
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引用次数: 132

Abstract

As an entry for the 2009 Gordon Bell price/performance prize, we present the results of two different hierarchical N-body simulations on a cluster of 256 graphics processing units (GPUs). Unlike many previous N-body simulations on GPUs that scale as O(N2), the present method calculates the O(N log N) treecode and O(N) fast multipole method (FMM) on the GPUs with unprecedented efficiency. We demonstrate the performance of our method by choosing one standard application -a gravitational N-body simulation- and one non-standard application -simulation of turbulence using vortex particles. The gravitational simulation using the treecode with 1,608,044,129 particles showed a sustained performance of 42.15 TFlops. The vortex particle simulation of homogeneous isotropic turbulence using the periodic FMM with 16,777,216 particles showed a sustained performance of 20.2 TFlops. The overall cost of the hardware was 228,912 dollars. The maximum corrected performance is 28.1TFlops for the gravitational simulation, which results in a cost performance of 124 MFlops/$. This correction is performed by counting the Flops based on the most efficient CPU algorithm. Any extra Flops that arise from the GPU implementation and parameter differences are not included in the 124 MFlops/$.
基于gpu的42 TFlops分层n体模拟及其在天体物理和湍流中的应用
作为2009年Gordon Bell价格/性能奖的参赛作品,我们在256个图形处理单元(gpu)的集群上展示了两种不同的分层n体模拟结果。与以往许多gpu上的N-体模拟不同,该方法以前所未有的效率在gpu上计算O(N log N)树码和O(N)快速多极子方法(FMM)。我们通过选择一个标准应用(重力n体模拟)和一个非标准应用(涡旋粒子湍流模拟)来证明我们方法的性能。使用treecode对1,608,044,129个粒子进行引力模拟,其持续性能为42.15 TFlops。采用16,777,216个粒子的周期FMM对均匀各向同性湍流进行了涡旋粒子模拟,其持续性能为20.2 TFlops。硬件的总成本是228,912美元。重力模拟的最大修正性能为28.1TFlops,其成本性能为124 MFlops/$。这种校正是通过基于最有效的CPU算法计算Flops来执行的。任何由GPU实现和参数差异引起的额外Flops都不包括在124 MFlops/$中。
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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