用于分子动力学模拟的gromac工具的GPU-SD和DPD并行化

N. Goga, S. Marrink, Ruxandra Cioromela, F. Moldoveanu
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引用次数: 11

摘要

本文介绍了荷兰格罗宁根大学分子动力学小组为分子动力学系统开发的新算法SD和DPD类型的GPU并行化。需要注意的是,分子动力学模拟是耗时的系统模拟,运行时间从几天到几周甚至几个月不等。因此,并行化是MD软件良好运行和使用的关键问题。本文介绍了GPU并行化新算法的主要组成部分和仿真结果。可以得出结论,与代码的串行版本相比,通过使用图形卡进行并行化可以提高运行的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GPU-SD and DPD parallelization for Gromacs tools for molecular dynamics simulations
This article presents the GPU parallelization of new algorithms SD and DPD types for molecular dynamics systems developed by the Molecular Dynamics Group, University of Groningen, the Netherlands. One should note that molecular dynamics simulations are time-consuming simulations of systems, running time ranging from days to weeks and months. Therefore parallelization is a key issue for the well-running and use of MD software. The paper presents the main ingredients of GPU parallelization of the new algorithms and simulation results. It can be concluded that the parallelization through the use of graphical cards improves the performances of the runs as compared to the serial version of the code.
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