{"title":"分布式并行程序的低成本非侵入式调试策略","authors":"M. Beynon, H. Andrade, J. Saltz","doi":"10.1109/CLUSTR.2002.1137778","DOIUrl":null,"url":null,"abstract":"We show how five low-cost and nonintrusive techniques that work using free commodity tools such as GDB can be used to improve the debugging process of multi-threaded and/or distributed parallel programs. These techniques have been used in the development of major software middleware - DataCutter and MQO - and have proven their value by lowering the time necessary to detect and correct bugs.","PeriodicalId":92128,"journal":{"name":"Proceedings. IEEE International Conference on Cluster Computing","volume":"439 1","pages":"439-442"},"PeriodicalIF":0.0000,"publicationDate":"2002-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Low-cost non-intrusive debugging strategies for distributed parallel programs\",\"authors\":\"M. Beynon, H. Andrade, J. Saltz\",\"doi\":\"10.1109/CLUSTR.2002.1137778\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We show how five low-cost and nonintrusive techniques that work using free commodity tools such as GDB can be used to improve the debugging process of multi-threaded and/or distributed parallel programs. These techniques have been used in the development of major software middleware - DataCutter and MQO - and have proven their value by lowering the time necessary to detect and correct bugs.\",\"PeriodicalId\":92128,\"journal\":{\"name\":\"Proceedings. IEEE International Conference on Cluster Computing\",\"volume\":\"439 1\",\"pages\":\"439-442\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. IEEE International Conference on Cluster Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CLUSTR.2002.1137778\",\"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.2002.1137778","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Low-cost non-intrusive debugging strategies for distributed parallel programs
We show how five low-cost and nonintrusive techniques that work using free commodity tools such as GDB can be used to improve the debugging process of multi-threaded and/or distributed parallel programs. These techniques have been used in the development of major software middleware - DataCutter and MQO - and have proven their value by lowering the time necessary to detect and correct bugs.