{"title":"数据中心时代的阿姆达尔定律:公平分配处理器的市场","authors":"S. Zahedi, Qiuyun Llull, Benjamin C. Lee","doi":"10.1109/HPCA.2018.00011","DOIUrl":null,"url":null,"abstract":"We present a processor allocation framework that uses Amdahl's Law to model parallel performance and a market mechanism to allocate cores. First, we propose the Amdahl utility function and demonstrate its accuracy when modeling performance from processor core allocations. Second, we design a market based on Amdahl utility that optimizes users' bids for processors based on workload parallelizability. The framework uses entitlements to guarantee fairness yet outperforms existing proportional share algorithms.","PeriodicalId":154694,"journal":{"name":"2018 IEEE International Symposium on High Performance Computer Architecture (HPCA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Amdahl's Law in the Datacenter Era: A Market for Fair Processor Allocation\",\"authors\":\"S. Zahedi, Qiuyun Llull, Benjamin C. Lee\",\"doi\":\"10.1109/HPCA.2018.00011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a processor allocation framework that uses Amdahl's Law to model parallel performance and a market mechanism to allocate cores. First, we propose the Amdahl utility function and demonstrate its accuracy when modeling performance from processor core allocations. Second, we design a market based on Amdahl utility that optimizes users' bids for processors based on workload parallelizability. The framework uses entitlements to guarantee fairness yet outperforms existing proportional share algorithms.\",\"PeriodicalId\":154694,\"journal\":{\"name\":\"2018 IEEE International Symposium on High Performance Computer Architecture (HPCA)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Symposium on High Performance Computer Architecture (HPCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPCA.2018.00011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Symposium on High Performance Computer Architecture (HPCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCA.2018.00011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Amdahl's Law in the Datacenter Era: A Market for Fair Processor Allocation
We present a processor allocation framework that uses Amdahl's Law to model parallel performance and a market mechanism to allocate cores. First, we propose the Amdahl utility function and demonstrate its accuracy when modeling performance from processor core allocations. Second, we design a market based on Amdahl utility that optimizes users' bids for processors based on workload parallelizability. The framework uses entitlements to guarantee fairness yet outperforms existing proportional share algorithms.