S. Sistare, Don Allen, R. Bowker, K. Jourdenais, Josh Simons, R. Title
{"title":"A scalable debugger for massively parallel message-passing programs","authors":"S. Sistare, Don Allen, R. Bowker, K. Jourdenais, Josh Simons, R. Title","doi":"10.1109/88.311572","DOIUrl":null,"url":null,"abstract":"In a message-passing program, there are at least as many threads as processors, and the programmer must deal with large numbers of them on a massively parallel machine. On our target machine, the CM-5, we had previously developed Prism, a programming environment that supports debugging, data visualization, and performance analysis of data-parallel programs. We discuss how our new version, Node Prism, extends Prism's capabilities for message-passing programs. It looks and feels like the data-parallel version, but it uses new methods for user-debugger interaction that promote greater understanding of parallel programs. It offers scalable expression, execution, and interpretation of all debugging operations, making it easier to debug and understand message-passing programs.<<ETX>>","PeriodicalId":325213,"journal":{"name":"IEEE Parallel & Distributed Technology: Systems & Applications","volume":"417 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"34","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Parallel & Distributed Technology: Systems & Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/88.311572","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 34
Abstract
In a message-passing program, there are at least as many threads as processors, and the programmer must deal with large numbers of them on a massively parallel machine. On our target machine, the CM-5, we had previously developed Prism, a programming environment that supports debugging, data visualization, and performance analysis of data-parallel programs. We discuss how our new version, Node Prism, extends Prism's capabilities for message-passing programs. It looks and feels like the data-parallel version, but it uses new methods for user-debugger interaction that promote greater understanding of parallel programs. It offers scalable expression, execution, and interpretation of all debugging operations, making it easier to debug and understand message-passing programs.<>