{"title":"软件共享内存中无家可归和基于家庭的延迟释放一致性协议的性能比较","authors":"A. Cox, E. D. Lara, Charlie Hu, W. Zwaenepoel","doi":"10.1109/HPCA.1999.744380","DOIUrl":null,"url":null,"abstract":"In this paper, we compare the performance of two multiple-writer protocols based on lazy release consistency. In particular, we compare the performance of Princeton's home-based protocol and TreadMarks' protocol on a 32-processor platform. We found that the performance difference between the two protocols was less than 4% for four out of seven applications. For the three applications on which performance differed by more than 4%, the TreadMarks protocol performed better for two because most of their data were migratory, while the home-based protocol performed better for one. For this one application, the explicit control over the location of data provided by the home-based protocol resulted in a better distribution of communication load across the processors. These results differ from those of a previous comparison of the two protocols. We attribute this difference to (1) a different ratio of memory to network bandwidth on our platform and (2) lazy diffing and request overlapping, two optimizations used by TreadMarks that were not used in the previous study.","PeriodicalId":287867,"journal":{"name":"Proceedings Fifth International Symposium on High-Performance Computer Architecture","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":"{\"title\":\"A performance comparison of homeless and home-based lazy release consistency protocols in software shared memory\",\"authors\":\"A. Cox, E. D. Lara, Charlie Hu, W. Zwaenepoel\",\"doi\":\"10.1109/HPCA.1999.744380\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we compare the performance of two multiple-writer protocols based on lazy release consistency. In particular, we compare the performance of Princeton's home-based protocol and TreadMarks' protocol on a 32-processor platform. We found that the performance difference between the two protocols was less than 4% for four out of seven applications. For the three applications on which performance differed by more than 4%, the TreadMarks protocol performed better for two because most of their data were migratory, while the home-based protocol performed better for one. For this one application, the explicit control over the location of data provided by the home-based protocol resulted in a better distribution of communication load across the processors. These results differ from those of a previous comparison of the two protocols. We attribute this difference to (1) a different ratio of memory to network bandwidth on our platform and (2) lazy diffing and request overlapping, two optimizations used by TreadMarks that were not used in the previous study.\",\"PeriodicalId\":287867,\"journal\":{\"name\":\"Proceedings Fifth International Symposium on High-Performance Computer Architecture\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-01-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"31\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Fifth International Symposium on High-Performance Computer Architecture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPCA.1999.744380\",\"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 Fifth International Symposium on High-Performance Computer Architecture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCA.1999.744380","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A performance comparison of homeless and home-based lazy release consistency protocols in software shared memory
In this paper, we compare the performance of two multiple-writer protocols based on lazy release consistency. In particular, we compare the performance of Princeton's home-based protocol and TreadMarks' protocol on a 32-processor platform. We found that the performance difference between the two protocols was less than 4% for four out of seven applications. For the three applications on which performance differed by more than 4%, the TreadMarks protocol performed better for two because most of their data were migratory, while the home-based protocol performed better for one. For this one application, the explicit control over the location of data provided by the home-based protocol resulted in a better distribution of communication load across the processors. These results differ from those of a previous comparison of the two protocols. We attribute this difference to (1) a different ratio of memory to network bandwidth on our platform and (2) lazy diffing and request overlapping, two optimizations used by TreadMarks that were not used in the previous study.