{"title":"基于事件分解的分子动力学并行离散事件模拟","authors":"M. Herbordt, Md. Ashfaquzzaman Khan, T. Dean","doi":"10.1109/ASAP.2009.39","DOIUrl":null,"url":null,"abstract":"Molecular dynamics simulation based on discrete event simulation (DMD) is emerging as an alternative to time-step driven molecular dynamics (MD). DMD uses simplified discretized models, enabling simulations to be advanced by event, with a resulting performance increase of several orders of magnitude. Even so, DMD is compute bound. Moreover, unlike MD, causality issues make DMD difficult to scale. Here we present a microarchitecture-inspired parallel algorithm for DMD: speculative execution enables multithreading, while in-order commitment ensures correctness. Our initial not-yet optimized implementation obtains scalability for a multicore processor when running realistic simulation models.","PeriodicalId":202421,"journal":{"name":"2009 20th IEEE International Conference on Application-specific Systems, Architectures and Processors","volume":"90 11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Parallel Discrete Event Simulation of Molecular Dynamics Through Event-Based Decomposition\",\"authors\":\"M. Herbordt, Md. Ashfaquzzaman Khan, T. Dean\",\"doi\":\"10.1109/ASAP.2009.39\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Molecular dynamics simulation based on discrete event simulation (DMD) is emerging as an alternative to time-step driven molecular dynamics (MD). DMD uses simplified discretized models, enabling simulations to be advanced by event, with a resulting performance increase of several orders of magnitude. Even so, DMD is compute bound. Moreover, unlike MD, causality issues make DMD difficult to scale. Here we present a microarchitecture-inspired parallel algorithm for DMD: speculative execution enables multithreading, while in-order commitment ensures correctness. Our initial not-yet optimized implementation obtains scalability for a multicore processor when running realistic simulation models.\",\"PeriodicalId\":202421,\"journal\":{\"name\":\"2009 20th IEEE International Conference on Application-specific Systems, Architectures and Processors\",\"volume\":\"90 11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 20th IEEE International Conference on Application-specific Systems, Architectures and Processors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASAP.2009.39\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 20th IEEE International Conference on Application-specific Systems, Architectures and Processors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASAP.2009.39","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallel Discrete Event Simulation of Molecular Dynamics Through Event-Based Decomposition
Molecular dynamics simulation based on discrete event simulation (DMD) is emerging as an alternative to time-step driven molecular dynamics (MD). DMD uses simplified discretized models, enabling simulations to be advanced by event, with a resulting performance increase of several orders of magnitude. Even so, DMD is compute bound. Moreover, unlike MD, causality issues make DMD difficult to scale. Here we present a microarchitecture-inspired parallel algorithm for DMD: speculative execution enables multithreading, while in-order commitment ensures correctness. Our initial not-yet optimized implementation obtains scalability for a multicore processor when running realistic simulation models.