{"title":"Increasing memory miss tolerance for SIMD cores","authors":"D. Tarjan, Jiayuan Meng, K. Skadron","doi":"10.1145/1654059.1654082","DOIUrl":null,"url":null,"abstract":"Manycore processors with wide SIMD cores are becoming a popular choice for the next generation of throughput oriented architectures. We introduce a hardware technique called \"diverge on miss\" that allows SIMD cores to better tolerate memory latency for workloads with non-contiguous memory access patterns. Individual threads within a SIMD \"warp\" are allowed to slip behind other threads in the same warp, letting the warp continue execution even if a subset of threads are waiting on memory. Diverge on miss can either increase the performance of a given design by up to a factor of 3.14 for a single warp per core, or reduce the number of warps per core needed to sustain a given level of performance from 16 to 2 warps, reducing the area per core by 35%.","PeriodicalId":371415,"journal":{"name":"Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"60","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1654059.1654082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 60
Abstract
Manycore processors with wide SIMD cores are becoming a popular choice for the next generation of throughput oriented architectures. We introduce a hardware technique called "diverge on miss" that allows SIMD cores to better tolerate memory latency for workloads with non-contiguous memory access patterns. Individual threads within a SIMD "warp" are allowed to slip behind other threads in the same warp, letting the warp continue execution even if a subset of threads are waiting on memory. Diverge on miss can either increase the performance of a given design by up to a factor of 3.14 for a single warp per core, or reduce the number of warps per core needed to sustain a given level of performance from 16 to 2 warps, reducing the area per core by 35%.