Zhang Tao, Cong Xu, Ke Chen, Guangyu Sun, Yuan Xie
{"title":"3D-SWIFT: a high-performance 3D-stacked wide IO DRAM","authors":"Zhang Tao, Cong Xu, Ke Chen, Guangyu Sun, Yuan Xie","doi":"10.1145/2591513.2591529","DOIUrl":null,"url":null,"abstract":"Wide IO has been standardized as a low-power, high-bandwidth DRAM for embedded system. The performance of Wide IO, however, is limited by the power constraint and unexploited fine-grained memory parallelism. In this work, we propose a novel architecture, 3D-SWIFT, that achieves high access parallelism by partitioning a memory bank into sub-banks with a fine access granularity, which takes advantage of 3D die-stacking. The power constraint is naturally eliminated by the fine-grained structure due to the reduced activation power. Moreover, we propose sub-bank autonomy and introduce corresponding management policies to enable an intelligent interface protocol. Thanks to sub-rank autonomy, the overhead of tracking huge concurrent accesses in the memory controller is significantly reduced, making our 3D-SWIFT architecture scalable for future memory systems. We evaluate our 3D-SWIFT and the results show that 3D-SWIFT can achieve 87.6% performance improvement compared to the state-of-the-art Wide IO.","PeriodicalId":272619,"journal":{"name":"ACM Great Lakes Symposium on VLSI","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Great Lakes Symposium on VLSI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2591513.2591529","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
Wide IO has been standardized as a low-power, high-bandwidth DRAM for embedded system. The performance of Wide IO, however, is limited by the power constraint and unexploited fine-grained memory parallelism. In this work, we propose a novel architecture, 3D-SWIFT, that achieves high access parallelism by partitioning a memory bank into sub-banks with a fine access granularity, which takes advantage of 3D die-stacking. The power constraint is naturally eliminated by the fine-grained structure due to the reduced activation power. Moreover, we propose sub-bank autonomy and introduce corresponding management policies to enable an intelligent interface protocol. Thanks to sub-rank autonomy, the overhead of tracking huge concurrent accesses in the memory controller is significantly reduced, making our 3D-SWIFT architecture scalable for future memory systems. We evaluate our 3D-SWIFT and the results show that 3D-SWIFT can achieve 87.6% performance improvement compared to the state-of-the-art Wide IO.