{"title":"Yield-aware Performance-Cost Characterization for Multi-Core SIMT","authors":"S. H. Mozafari, B. Meyer, K. Skadron","doi":"10.1145/2742060.2742112","DOIUrl":null,"url":null,"abstract":"Redundancy is now routinely allocated in circuits, microarchitectural structures, or at the system level, to mitigate mounting manufacturing yield losses. In this paper, we propose spare lane sharing, which reduces the cost of multi-core SIMT systems by allowing one of two neighboring cores to make use of a redundant lane if necessary. We have evaluated the performance-cost trade-offs of core-, lane-, and shared-lane-sparing under a variety of benchmarks, and found that for nearly all applications shared-lane-sparing outperforms lane-sparing, reducing cost by up to 20%.","PeriodicalId":255133,"journal":{"name":"Proceedings of the 25th edition on Great Lakes Symposium on VLSI","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 25th edition on Great Lakes Symposium on VLSI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2742060.2742112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Redundancy is now routinely allocated in circuits, microarchitectural structures, or at the system level, to mitigate mounting manufacturing yield losses. In this paper, we propose spare lane sharing, which reduces the cost of multi-core SIMT systems by allowing one of two neighboring cores to make use of a redundant lane if necessary. We have evaluated the performance-cost trade-offs of core-, lane-, and shared-lane-sparing under a variety of benchmarks, and found that for nearly all applications shared-lane-sparing outperforms lane-sparing, reducing cost by up to 20%.