{"title":"用于增量程序重播的自适应消息日志记录","authors":"Robert H. B. Netzer, Jian Xu","doi":"10.1109/88.260289","DOIUrl":null,"url":null,"abstract":"Adaptive message logging, which traces dependences between messages and checkpoints and selectively logs messages, letting users accurately and efficiently replay specific portions of parallel programs, is presented. Traces are reduced by logging only messages that cannot be quickly recomputed during replay. By restarting the execution at the right set of checkpoints, many of the messages needed for a specific replay can be recomputed during the replay itself.<<ETX>>","PeriodicalId":325213,"journal":{"name":"IEEE Parallel & Distributed Technology: Systems & Applications","volume":"130 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":"{\"title\":\"Adaptive message logging for incremental program replay\",\"authors\":\"Robert H. B. Netzer, Jian Xu\",\"doi\":\"10.1109/88.260289\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Adaptive message logging, which traces dependences between messages and checkpoints and selectively logs messages, letting users accurately and efficiently replay specific portions of parallel programs, is presented. Traces are reduced by logging only messages that cannot be quickly recomputed during replay. By restarting the execution at the right set of checkpoints, many of the messages needed for a specific replay can be recomputed during the replay itself.<<ETX>>\",\"PeriodicalId\":325213,\"journal\":{\"name\":\"IEEE Parallel & Distributed Technology: Systems & Applications\",\"volume\":\"130 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"39\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Parallel & Distributed Technology: Systems & Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/88.260289\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Parallel & Distributed Technology: Systems & Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/88.260289","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive message logging for incremental program replay
Adaptive message logging, which traces dependences between messages and checkpoints and selectively logs messages, letting users accurately and efficiently replay specific portions of parallel programs, is presented. Traces are reduced by logging only messages that cannot be quickly recomputed during replay. By restarting the execution at the right set of checkpoints, many of the messages needed for a specific replay can be recomputed during the replay itself.<>
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