Scalable Molecular Dynamics for Large Biomolecular Systems

R. Brunner, James C. Phillips, L. Kalé
{"title":"Scalable Molecular Dynamics for Large Biomolecular Systems","authors":"R. Brunner, James C. Phillips, L. Kalé","doi":"10.1155/2000/750827","DOIUrl":null,"url":null,"abstract":"We present an optimized parallelization scheme for molecular dynamics simulations of large biomolecular systems, implemented in the production-quality molecular dynamics program NAMD. With an object-based hybrid force and spatial decomposition scheme, and an aggressive measurement-based predictive load balancing framework, we have attained speeds and speedups that are much higher than any reported in literature so far. The paper first summarizes the broad methodology we are pursuing, and the basic parallelization scheme we used. It then describes the optimizations that were instrumental in increasing performance, and presents performance results on benchmark simulations.","PeriodicalId":228250,"journal":{"name":"ACM/IEEE SC 2000 Conference (SC'00)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM/IEEE SC 2000 Conference (SC'00)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2000/750827","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 35

Abstract

We present an optimized parallelization scheme for molecular dynamics simulations of large biomolecular systems, implemented in the production-quality molecular dynamics program NAMD. With an object-based hybrid force and spatial decomposition scheme, and an aggressive measurement-based predictive load balancing framework, we have attained speeds and speedups that are much higher than any reported in literature so far. The paper first summarizes the broad methodology we are pursuing, and the basic parallelization scheme we used. It then describes the optimizations that were instrumental in increasing performance, and presents performance results on benchmark simulations.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
大型生物分子系统的可扩展分子动力学
我们提出了一个优化的并行方案,用于大型生物分子系统的分子动力学模拟,在生产质量的分子动力学程序NAMD中实现。通过基于对象的混合力和空间分解方案,以及基于积极测量的预测负载平衡框架,我们获得了比迄今为止文献报道的任何速度和加速都要高得多的速度和加速。本文首先总结了我们所追求的广泛的方法,以及我们使用的基本并行方案。然后描述了对提高性能有帮助的优化,并在基准模拟中给出了性能结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An Object-Oriented Job Execution Environment Automatically Tuned Collective Communications Architectural and Performance Evaluation of GigaNet and Myrinet Interconnects on Clusters of Small-Scale SMP Servers Parallel Smoothed Aggregation Multigrid : Aggregation Strategies on Massively Parallel Machines High-Cost CFD on a Low-Cost Cluster
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1