The Power Efficiency of GPUs in Multi Nodes Environment with Molecular Dynamics

T. Udagawa, M. Sekijima
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引用次数: 7

Abstract

Energy efficient systems are highly demanded as the power consumption in HPC region increase. The use of GPUs has attracted attention as a possible solution to these problems because of their parallel performance and power efficiency. However, it is uncertain how much improvement can be obtained by applying GPUs to applications. In this study, we developed a molecular dynamics simulation program for CPU parallel and GPU parallel, and executed it on our computer cluster. Then we compared the performance of CPUs and GPUs. We obtained the result that the GPUs were about 10 times faster and 5 times more power efficient than the CPUs.
基于分子动力学的多节点环境下gpu的功耗效率研究
随着高性能计算地区电力消耗的增加,对节能系统的要求越来越高。gpu的使用已经引起了人们的注意,因为它们的并行性能和功率效率可能解决这些问题。然而,目前还不确定将gpu应用到应用程序中可以获得多少改进。在本研究中,我们开发了一个CPU并行和GPU并行的分子动力学模拟程序,并在我们的计算机集群上运行。然后比较了cpu和gpu的性能。我们得到的结果是,gpu的速度是cpu的10倍,能效是cpu的5倍。
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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