多线程
可扩展性
分子动力学
计算科学
并行计算
至强融核
计算机科学
氙气
化学
计算化学
线程(计算)
数据库
操作系统
作者
Ying Li,Ken‐ichi Nomura,Joseph A. Insley,Vitali Morozov,Kalyan Kumaran,Nichols A. Romero,William A. Goddard,Rajiv K. Kalia,Aiichiro Nakano,Priya Vashishta
标识
DOI:10.1109/mcse.2018.110150043
摘要
Reactive molecular dynamics (MD) simulation is a powerful research tool for describing chemical reactions. We eliminate the speed-limiting charge iteration in MD with a novel extended-Lagrangian scheme. The extended-Lagrangian reactive MD (XRMD) code drastically improves energy conservation while substantially reducing time-to-solution. Furthermore, we introduce a new polarizable charge equilibration (PQEq) model to accurately predict atomic charges and polarization. The XRMD code based on hybrid message passing+multithreading achieves a weak-scaling parallel efficiency of 0.977 on 786 432 IBM Blue Gene/Q cores for a 67.6 billion-atom system. The performance is portable to the second-generation Intel Xeon Phi, Knights Landing. Blue Gene/Q simulations for the computational synthesis of materials via novel exfoliation mechanisms for synthesizing atomically thin transition metal dichalcogenide layers will dominate nanomaterials science in this century.
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