{"title":"一般调度器下多线程计算的缓存丢失代价:扩展摘要","authors":"R. Cole, V. Ramachandran","doi":"10.1145/3087556.3087572","DOIUrl":null,"url":null,"abstract":"We analyze the caching overhead incurred by a class of multithreaded algorithms when scheduled by an arbitrary scheduler. We obtain bounds that match or improve upon the well-known O(Q+S · (M/B)) caching cost for the randomized work stealing (RWS) scheduler, where S is the number of steals, Q is the sequential caching cost, and M and B are the cache size and block (or cache line) size respectively.","PeriodicalId":162994,"journal":{"name":"Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Bounding Cache Miss Costs of Multithreaded Computations Under General Schedulers: Extended Abstract\",\"authors\":\"R. Cole, V. Ramachandran\",\"doi\":\"10.1145/3087556.3087572\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We analyze the caching overhead incurred by a class of multithreaded algorithms when scheduled by an arbitrary scheduler. We obtain bounds that match or improve upon the well-known O(Q+S · (M/B)) caching cost for the randomized work stealing (RWS) scheduler, where S is the number of steals, Q is the sequential caching cost, and M and B are the cache size and block (or cache line) size respectively.\",\"PeriodicalId\":162994,\"journal\":{\"name\":\"Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3087556.3087572\",\"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 the 29th ACM Symposium on Parallelism in Algorithms and Architectures","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3087556.3087572","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bounding Cache Miss Costs of Multithreaded Computations Under General Schedulers: Extended Abstract
We analyze the caching overhead incurred by a class of multithreaded algorithms when scheduled by an arbitrary scheduler. We obtain bounds that match or improve upon the well-known O(Q+S · (M/B)) caching cost for the randomized work stealing (RWS) scheduler, where S is the number of steals, Q is the sequential caching cost, and M and B are the cache size and block (or cache line) size respectively.