D. Yoon, Minseong Jeong, Michael B. Sullivan, M. Erez
{"title":"The dynamic granularity memory system","authors":"D. Yoon, Minseong Jeong, Michael B. Sullivan, M. Erez","doi":"10.1145/2366231.2337222","DOIUrl":null,"url":null,"abstract":"Chip multiprocessors enable continued performance scaling with increasingly many cores per chip. As the throughput of computation outpaces available memory bandwidth, however, the system bottleneck will shift to main memory. We present a memory system, the dynamic granularity memory system (DGMS), which avoids unnecessary data transfers, saves power, and improves system performance by dynamically changing between fine and coarse-grained memory accesses. DGMS predicts memory access granularities dynamically in hardware, and does not require software or OS support. The dynamic operation of DGMS gives it superior ease of implementation and power efficiency relative to prior multi-granularity memory systems, while maintaining comparable levels of system performance.","PeriodicalId":193578,"journal":{"name":"2012 39th Annual International Symposium on Computer Architecture (ISCA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"72","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 39th Annual International Symposium on Computer Architecture (ISCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2366231.2337222","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 72
Abstract
Chip multiprocessors enable continued performance scaling with increasingly many cores per chip. As the throughput of computation outpaces available memory bandwidth, however, the system bottleneck will shift to main memory. We present a memory system, the dynamic granularity memory system (DGMS), which avoids unnecessary data transfers, saves power, and improves system performance by dynamically changing between fine and coarse-grained memory accesses. DGMS predicts memory access granularities dynamically in hardware, and does not require software or OS support. The dynamic operation of DGMS gives it superior ease of implementation and power efficiency relative to prior multi-granularity memory systems, while maintaining comparable levels of system performance.