{"title":"METRICS:在消息传递多台计算机中显示和分析映射的工具","authors":"V. Lo, K. Windisch, R. Datta","doi":"10.1109/SHPCC.1992.232647","DOIUrl":null,"url":null,"abstract":"METRICS is a software tool for the static (compile time) analysis of mappings. METRICS is designed for use in the mapping of parallel computations consisting of a set of communicating parallel processes which communicate through explicit message passing. The target architectures currently supported include the mesh and hypercube as well as user-defined topologies. The underlying routing schemes include store-and-forward, virtual cut-through, and wormhole routing. METRICS is designed to display the mapping in a clear, logical, and intuitive format so that the user can evaluate it quantitatively as well as visually. The contributions of METRICS include its rich underlying formalism, the temporal communication graph, a hybrid between the static task graph and the DAG; its mechanisms for handling massive parallelism using subviews, scrolling, and hierarchical grouping; and the broad spectrum of mapping metrics used in the analysis of each mapping.<<ETX>>","PeriodicalId":254515,"journal":{"name":"Proceedings Scalable High Performance Computing Conference SHPCC-92.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"METRICS: a tool for the display and analysis of mappings in message-passing multicomputers\",\"authors\":\"V. Lo, K. Windisch, R. Datta\",\"doi\":\"10.1109/SHPCC.1992.232647\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"METRICS is a software tool for the static (compile time) analysis of mappings. METRICS is designed for use in the mapping of parallel computations consisting of a set of communicating parallel processes which communicate through explicit message passing. The target architectures currently supported include the mesh and hypercube as well as user-defined topologies. The underlying routing schemes include store-and-forward, virtual cut-through, and wormhole routing. METRICS is designed to display the mapping in a clear, logical, and intuitive format so that the user can evaluate it quantitatively as well as visually. The contributions of METRICS include its rich underlying formalism, the temporal communication graph, a hybrid between the static task graph and the DAG; its mechanisms for handling massive parallelism using subviews, scrolling, and hierarchical grouping; and the broad spectrum of mapping metrics used in the analysis of each mapping.<<ETX>>\",\"PeriodicalId\":254515,\"journal\":{\"name\":\"Proceedings Scalable High Performance Computing Conference SHPCC-92.\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Scalable High Performance Computing Conference SHPCC-92.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SHPCC.1992.232647\",\"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.1992.232647","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
METRICS: a tool for the display and analysis of mappings in message-passing multicomputers
METRICS is a software tool for the static (compile time) analysis of mappings. METRICS is designed for use in the mapping of parallel computations consisting of a set of communicating parallel processes which communicate through explicit message passing. The target architectures currently supported include the mesh and hypercube as well as user-defined topologies. The underlying routing schemes include store-and-forward, virtual cut-through, and wormhole routing. METRICS is designed to display the mapping in a clear, logical, and intuitive format so that the user can evaluate it quantitatively as well as visually. The contributions of METRICS include its rich underlying formalism, the temporal communication graph, a hybrid between the static task graph and the DAG; its mechanisms for handling massive parallelism using subviews, scrolling, and hierarchical grouping; and the broad spectrum of mapping metrics used in the analysis of each mapping.<>