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Performance Evaluation of the MODYLAS Application on Modern Multi-core and Many-Core Environments

机译:Modylas应用于现代多核和多核环境的绩效评估

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Molecular dynamics (MD) simulations are an essential tool for various fields of science. To broaden the range of applications of MD simulations, faster and more large-scale simulations that achieve the same accuracy are required. Authors have developed an MD application named MODYLAS over several years. In our previous work, we focused on the pairwise additive calculation of potentials and forces, which is one of the hot spots in MD simulations. We have proposed new thread-level algorithms and evaluated the performance using the FX100 supercomputer system. In this study, we measure the performance of the above algorithms on Skylake-SP and Knights Landing processors and compare the results with FX100. Using the obtained results, we discuss the application performance on this hardware and the potential performance improvement by using the auto-tuning technique.
机译:分子动力学(MD)模拟是各种科学领域的重要工具。为了拓宽MD模拟的应用范围,需要达到相同精度的更快和更大的模拟。作者在几年内开发了名为Modylas的MD应用程序。在我们以前的工作中,我们专注于对潜在和力的成对添加剂计算,这是MD模拟中的热点之一。我们提出了新的线程级算法,并使用FX100超级计算机系统进行了评估性能。在这项研究中,我们测量上述算法在Skylake-SP和骑士着陆处理器上的性能,并将结果与​​FX100进行比较。使用所获得的结果,我们通过使用自动调整技术讨论此硬件上的应用程序性能和潜在的性能改进。

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