{"title":"网格和聚类矩阵计算与持久存储和核外编程","authors":"Lamine M. Aouad, S. Petiton, M. Sato","doi":"10.1109/CLUSTR.2005.347071","DOIUrl":null,"url":null,"abstract":"In this paper we present a performance evaluation of a large-scale numerical application on a cluster and a global grid/cluster platform. The computational resources are a cluster of clusters (34 nodes, 84 processors) and a local area network grid (128 nodes), distributed on two geographic sites: Tsukuba University (Japan) and University of Lille I (France). We compare a classical MPI (message passing interface) version with global grid/cluster versions. We also present and test some techniques for numerical applications on a grid/cluster infrastructure based on out-of-core programming and an efficient data placement. We discuss the performances of a block-based Gauss-Jordan method for large matrix inversion. As experimental grid middleware we use the XtremWeb system to manage non-dedicated distributed resources","PeriodicalId":255312,"journal":{"name":"2005 IEEE International Conference on Cluster Computing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Grid and Cluster Matrix Computation with Persistent Storage and Out-of-core Programming\",\"authors\":\"Lamine M. Aouad, S. Petiton, M. Sato\",\"doi\":\"10.1109/CLUSTR.2005.347071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present a performance evaluation of a large-scale numerical application on a cluster and a global grid/cluster platform. The computational resources are a cluster of clusters (34 nodes, 84 processors) and a local area network grid (128 nodes), distributed on two geographic sites: Tsukuba University (Japan) and University of Lille I (France). We compare a classical MPI (message passing interface) version with global grid/cluster versions. We also present and test some techniques for numerical applications on a grid/cluster infrastructure based on out-of-core programming and an efficient data placement. We discuss the performances of a block-based Gauss-Jordan method for large matrix inversion. As experimental grid middleware we use the XtremWeb system to manage non-dedicated distributed resources\",\"PeriodicalId\":255312,\"journal\":{\"name\":\"2005 IEEE International Conference on Cluster Computing\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 IEEE International Conference on Cluster Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CLUSTR.2005.347071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE International Conference on Cluster Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLUSTR.2005.347071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Grid and Cluster Matrix Computation with Persistent Storage and Out-of-core Programming
In this paper we present a performance evaluation of a large-scale numerical application on a cluster and a global grid/cluster platform. The computational resources are a cluster of clusters (34 nodes, 84 processors) and a local area network grid (128 nodes), distributed on two geographic sites: Tsukuba University (Japan) and University of Lille I (France). We compare a classical MPI (message passing interface) version with global grid/cluster versions. We also present and test some techniques for numerical applications on a grid/cluster infrastructure based on out-of-core programming and an efficient data placement. We discuss the performances of a block-based Gauss-Jordan method for large matrix inversion. As experimental grid middleware we use the XtremWeb system to manage non-dedicated distributed resources
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