在MIMD超级计算机上的可扩展并行分子动力学

S. Plimpton, G. Heffelfinger
{"title":"在MIMD超级计算机上的可扩展并行分子动力学","authors":"S. Plimpton, G. Heffelfinger","doi":"10.1109/SHPCC.1992.232635","DOIUrl":null,"url":null,"abstract":"Presents two parallel algorithms suitable for molecular dynamics simulations over a wide range of sizes, from a few hundred to millions of atoms. One of the algorithms is optimally scalable, offering performance proportional to N/P where N is the number of atoms (or molecules) and P is the number of processors. Their implementation on three MIMD parallel computers (nCUBE2, Intel Gamma, and Intel Delta) and performance on a standard benchmark problem as compared to vector and SIMD implementations is discussed. The authors also briefly describe the integration of one of the algorithms into a widely-used code appropriate for modeling defect dynamics in metals via the embedded atom method.<<ETX>>","PeriodicalId":254515,"journal":{"name":"Proceedings Scalable High Performance Computing Conference SHPCC-92.","volume":"50 12","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Scalable parallel molecular dynamics on MIMD supercomputers\",\"authors\":\"S. Plimpton, G. Heffelfinger\",\"doi\":\"10.1109/SHPCC.1992.232635\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presents two parallel algorithms suitable for molecular dynamics simulations over a wide range of sizes, from a few hundred to millions of atoms. One of the algorithms is optimally scalable, offering performance proportional to N/P where N is the number of atoms (or molecules) and P is the number of processors. Their implementation on three MIMD parallel computers (nCUBE2, Intel Gamma, and Intel Delta) and performance on a standard benchmark problem as compared to vector and SIMD implementations is discussed. The authors also briefly describe the integration of one of the algorithms into a widely-used code appropriate for modeling defect dynamics in metals via the embedded atom method.<<ETX>>\",\"PeriodicalId\":254515,\"journal\":{\"name\":\"Proceedings Scalable High Performance Computing Conference SHPCC-92.\",\"volume\":\"50 12\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Scalable High Performance Computing Conference SHPCC-92.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SHPCC.1992.232635\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Scalable High Performance Computing Conference SHPCC-92.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SHPCC.1992.232635","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

摘要

提出了两种并行算法,适用于分子动力学模拟的大范围尺寸,从几百到数百万的原子。其中一种算法具有最佳可扩展性,提供与N/P成比例的性能,其中N是原子(或分子)的数量,P是处理器的数量。讨论了它们在三台MIMD并行计算机(nCUBE2、Intel Gamma和Intel Delta)上的实现,以及与矢量和SIMD实现相比,在标准基准测试问题上的性能。作者还简要描述了将其中一种算法集成到一个广泛使用的代码中,该代码适用于通过嵌入原子方法对金属中的缺陷动力学进行建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scalable parallel molecular dynamics on MIMD supercomputers
Presents two parallel algorithms suitable for molecular dynamics simulations over a wide range of sizes, from a few hundred to millions of atoms. One of the algorithms is optimally scalable, offering performance proportional to N/P where N is the number of atoms (or molecules) and P is the number of processors. Their implementation on three MIMD parallel computers (nCUBE2, Intel Gamma, and Intel Delta) and performance on a standard benchmark problem as compared to vector and SIMD implementations is discussed. The authors also briefly describe the integration of one of the algorithms into a widely-used code appropriate for modeling defect dynamics in metals via the embedded atom method.<>
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信