{"title":"基于GROMACS的分子动力学模拟多尺度算法","authors":"N. Goga, S. Marrink, S. Costache, F. Moldoveanu","doi":"10.1109/SYSTEMS.2009.4815825","DOIUrl":null,"url":null,"abstract":"This article presents the parallel implementation of a new multiscale model that is currently developed in the Molecular Dynamics Group from the University of Groningen. Multiscale methods combine the advantages of two levels of simulation, an atomistic and a coarse-grain one, with a small loss of performance. We designed a parallel implementation of this multiscale approach based on the improved parallel algorithms from the GROMACS MD simulator. The properties of the simulated systems were undisturbed and the errors were kept to a minimum. By having a parallel multiscale simulation, one can take advantage of a reduced simulation time by running it on multiple processors, and in the same time, access to both atomistic and macroscopic details is offered for a better understanding of the desired phenomenon.","PeriodicalId":131616,"journal":{"name":"2009 3rd Annual IEEE Systems Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multiscaling algorithms for molecular dynamics simulations with GROMACS\",\"authors\":\"N. Goga, S. Marrink, S. Costache, F. Moldoveanu\",\"doi\":\"10.1109/SYSTEMS.2009.4815825\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents the parallel implementation of a new multiscale model that is currently developed in the Molecular Dynamics Group from the University of Groningen. Multiscale methods combine the advantages of two levels of simulation, an atomistic and a coarse-grain one, with a small loss of performance. We designed a parallel implementation of this multiscale approach based on the improved parallel algorithms from the GROMACS MD simulator. The properties of the simulated systems were undisturbed and the errors were kept to a minimum. By having a parallel multiscale simulation, one can take advantage of a reduced simulation time by running it on multiple processors, and in the same time, access to both atomistic and macroscopic details is offered for a better understanding of the desired phenomenon.\",\"PeriodicalId\":131616,\"journal\":{\"name\":\"2009 3rd Annual IEEE Systems Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 3rd Annual IEEE Systems Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SYSTEMS.2009.4815825\",\"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 3rd Annual IEEE Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYSTEMS.2009.4815825","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiscaling algorithms for molecular dynamics simulations with GROMACS
This article presents the parallel implementation of a new multiscale model that is currently developed in the Molecular Dynamics Group from the University of Groningen. Multiscale methods combine the advantages of two levels of simulation, an atomistic and a coarse-grain one, with a small loss of performance. We designed a parallel implementation of this multiscale approach based on the improved parallel algorithms from the GROMACS MD simulator. The properties of the simulated systems were undisturbed and the errors were kept to a minimum. By having a parallel multiscale simulation, one can take advantage of a reduced simulation time by running it on multiple processors, and in the same time, access to both atomistic and macroscopic details is offered for a better understanding of the desired phenomenon.