{"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}
引用次数: 2
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.<>