{"title":"支持多处理器和异构计算节点的运行时系统","authors":"K. Pedretti, R. Brightwell, Joshua Williams","doi":"10.1109/CLUSTR.2002.1137748","DOIUrl":null,"url":null,"abstract":"In this paper, we describe additions and modifications to the Computational Plant (Cplant/sup /spl trade//) system software to support multi-processor compute nodes and to support heterogeneous node types. We describe how these capabilities have been incorporated into our scalable runtime system and how these changes affect the interface seen by end users and application developers. We also discuss several important operating system and networking issues that can directly impact application performance. We present some initial performance metrics that indicate how our current implementation scales when multiple processes are running on a single node.","PeriodicalId":92128,"journal":{"name":"Proceedings. IEEE International Conference on Cluster Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2002-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Cplant/sup /spl trade// runtime system support for multi-processor and heterogeneous compute nodes\",\"authors\":\"K. Pedretti, R. Brightwell, Joshua Williams\",\"doi\":\"10.1109/CLUSTR.2002.1137748\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we describe additions and modifications to the Computational Plant (Cplant/sup /spl trade//) system software to support multi-processor compute nodes and to support heterogeneous node types. We describe how these capabilities have been incorporated into our scalable runtime system and how these changes affect the interface seen by end users and application developers. We also discuss several important operating system and networking issues that can directly impact application performance. We present some initial performance metrics that indicate how our current implementation scales when multiple processes are running on a single node.\",\"PeriodicalId\":92128,\"journal\":{\"name\":\"Proceedings. IEEE International Conference on Cluster Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. IEEE International Conference on Cluster Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CLUSTR.2002.1137748\",\"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. IEEE International Conference on Cluster Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLUSTR.2002.1137748","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cplant/sup /spl trade// runtime system support for multi-processor and heterogeneous compute nodes
In this paper, we describe additions and modifications to the Computational Plant (Cplant/sup /spl trade//) system software to support multi-processor compute nodes and to support heterogeneous node types. We describe how these capabilities have been incorporated into our scalable runtime system and how these changes affect the interface seen by end users and application developers. We also discuss several important operating system and networking issues that can directly impact application performance. We present some initial performance metrics that indicate how our current implementation scales when multiple processes are running on a single node.
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