Large-scale Hydrodynamic Brownian Simulations on Multicore and GPU Architectures

Proceedings of XSEDE16 : Diversity, Big Data, and Science at Scale : July 17-21, 2016, Intercontinental Miami Hotel, Miami, Florida, USA. Conference on Extreme Science and Engineering Discovery Environment (5th : 2016 : Miami, Fla.) Pub Date : 2014-07-13 DOI:10.1145/2616498.2616523

M. G. Lopez, Mitchel D. Horton, Edmond Chow

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Abstract

We present here ongoing work to produce an implementation of Brownian dynamics simulation using a matrix-free method with hardware accelerators. This work describes the GPU acceleration of a smooth particle-mesh Ewald (SPME) algorithm which is used for the main part of the computation, previously ported to run on Intel Xeon Phi.

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基于多核和GPU架构的大规模流体动力学布朗模拟

我们在这里介绍正在进行的工作，以产生一个实现布朗动力学模拟使用无矩阵的方法与硬件加速器。这项工作描述了平滑粒子网格Ewald (SPME)算法的GPU加速，该算法用于计算的主要部分，以前移植到Intel Xeon Phi上运行。

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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Proceedings of XSEDE16 : Diversity, Big Data, and Science at Scale : July 17-21, 2016, Intercontinental Miami Hotel, Miami, Florida, USA. Conference on Extreme Science and Engineering Discovery Environment (5th : 2016 : Miami, Fla.)

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