{"title":"软件dsm中的多线程和远程延迟","authors":"K. Thitikamol, P. Keleher","doi":"10.1109/ICDCS.1997.598057","DOIUrl":null,"url":null,"abstract":"This paper evaluates the use of per-node multi-threading to hide remote memory and synchronization latencies in a software DSM. As with hardware systems, multi-threading in software systems can be used to reduce the costs of remote requests by switching threads when the current thread blocks. We added multi-threading to the CVM software DSM and evaluated its impact on performance for a suite of common shared memory programs. Multi-threading resulted in speed improvements of at least 17% in three of the seven applications in our suite, and lesser improvements in the other applications. However, we found that: good performance is not always achievable transparently for non-trivial applications; multi-threading can negatively interact with DSM operations; multi-threading decreases cache and TLB locality; and any multi-threading speedup is dependent on available work.","PeriodicalId":122990,"journal":{"name":"Proceedings of 17th International Conference on Distributed Computing Systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"46","resultStr":"{\"title\":\"Multi-threading and remote latency in software DSMs\",\"authors\":\"K. Thitikamol, P. Keleher\",\"doi\":\"10.1109/ICDCS.1997.598057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper evaluates the use of per-node multi-threading to hide remote memory and synchronization latencies in a software DSM. As with hardware systems, multi-threading in software systems can be used to reduce the costs of remote requests by switching threads when the current thread blocks. We added multi-threading to the CVM software DSM and evaluated its impact on performance for a suite of common shared memory programs. Multi-threading resulted in speed improvements of at least 17% in three of the seven applications in our suite, and lesser improvements in the other applications. However, we found that: good performance is not always achievable transparently for non-trivial applications; multi-threading can negatively interact with DSM operations; multi-threading decreases cache and TLB locality; and any multi-threading speedup is dependent on available work.\",\"PeriodicalId\":122990,\"journal\":{\"name\":\"Proceedings of 17th International Conference on Distributed Computing Systems\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"46\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 17th International Conference on Distributed Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDCS.1997.598057\",\"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 of 17th International Conference on Distributed Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCS.1997.598057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-threading and remote latency in software DSMs
This paper evaluates the use of per-node multi-threading to hide remote memory and synchronization latencies in a software DSM. As with hardware systems, multi-threading in software systems can be used to reduce the costs of remote requests by switching threads when the current thread blocks. We added multi-threading to the CVM software DSM and evaluated its impact on performance for a suite of common shared memory programs. Multi-threading resulted in speed improvements of at least 17% in three of the seven applications in our suite, and lesser improvements in the other applications. However, we found that: good performance is not always achievable transparently for non-trivial applications; multi-threading can negatively interact with DSM operations; multi-threading decreases cache and TLB locality; and any multi-threading speedup is dependent on available work.