Using a master and slave approach for GPGPU computing to achieve optimal scaling in a 3D real-time simulation

G. Gutmann, Daisuke Inoue, A. Kakugo, A. Konagaya
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引用次数: 2

Abstract

With the ever increasing computational demand of scientific research and data analysis, there has been a migration towards GPU computing. GPU are now the primary source of compute power in most top supercomputers. But in order to make use of the power programs must utilize more than a single GPU. Within this paper we will explain various approaches we have taken to utilize multiple GPU, and attempt to reach close to perfect scaling on a multi-step simulation. The result of this is having developed our simulation to be computed on a master and slave setup of GPU. Our simulation mentioned is being developed for the purpose of simulating microtubule dynamics on a gliding assay.
在三维实时仿真中,采用主从方式实现GPGPU计算的最优缩放
随着科学研究和数据分析的计算需求不断增加,GPU计算已经成为一种趋势。GPU现在是大多数顶级超级计算机计算能力的主要来源。但是为了充分利用这些能量,程序必须使用不止一个GPU。在本文中,我们将解释我们利用多个GPU所采取的各种方法,并尝试在多步模拟中达到接近完美的缩放。这样做的结果是开发了我们的模拟,可以在GPU的主从设置上进行计算。我们提到的模拟是为了在滑行实验中模拟微管动力学而开发的。
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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