{"title":"Linda在分子建模中的应用","authors":"T. Mattson, M. Shifman","doi":"10.1109/SHPCC.1992.232640","DOIUrl":null,"url":null,"abstract":"Presents a sampling of work applying parallel computation to computational chemistry using the Linda machine-independent parallel programming language. The authors focus on two projects in particular. The first project parallelized the well-known distance geometry program, DGEOM, while the second project looked at a molecular dynamic code. In both cases, the Linda programs were relatively easy to develop and delivered good performance on a variety of MIMD architectures.<<ETX>>","PeriodicalId":254515,"journal":{"name":"Proceedings Scalable High Performance Computing Conference SHPCC-92.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Linda to molecular modeling\",\"authors\":\"T. Mattson, M. Shifman\",\"doi\":\"10.1109/SHPCC.1992.232640\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presents a sampling of work applying parallel computation to computational chemistry using the Linda machine-independent parallel programming language. The authors focus on two projects in particular. The first project parallelized the well-known distance geometry program, DGEOM, while the second project looked at a molecular dynamic code. In both cases, the Linda programs were relatively easy to develop and delivered good performance on a variety of MIMD architectures.<<ETX>>\",\"PeriodicalId\":254515,\"journal\":{\"name\":\"Proceedings Scalable High Performance Computing Conference SHPCC-92.\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Scalable High Performance Computing Conference SHPCC-92.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SHPCC.1992.232640\",\"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.1992.232640","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Presents a sampling of work applying parallel computation to computational chemistry using the Linda machine-independent parallel programming language. The authors focus on two projects in particular. The first project parallelized the well-known distance geometry program, DGEOM, while the second project looked at a molecular dynamic code. In both cases, the Linda programs were relatively easy to develop and delivered good performance on a variety of MIMD architectures.<>
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