Per-bank refresh with adaptive early termination for high density DRAM

Hyunggyun Yang, Min-Kyu Lee, Ki-Seok Chung
{"title":"Per-bank refresh with adaptive early termination for high density DRAM","authors":"Hyunggyun Yang, Min-Kyu Lee, Ki-Seok Chung","doi":"10.1145/3290420.3290442","DOIUrl":null,"url":null,"abstract":"DRAM, which is mainly used as main memory, requires a refresh operation to maintain the integrity of stored data. Since memory read and write operations to a bank are not allowed while the bank is being refreshed, a lot of memory accesses may be blocked due to refresh, which may lead to significant performance degradation. Therefore, a lot of active studies to minimize this negative performance impact of refresh have been conducted. In a refresh scheme called per-bank refresh, the refresh unit will be one bank rather than all banks in a rank, allowing memory access to other banks while a certain bank in the same rank is refreshed. However, the per-bank refresh consumes more power than all-bank refresh. In this paper, we propose a per-bank refresh method with adaptive early termination, which allows both the refresh period and the size of each row group to be non-uniformly determined, to increase the efficiency of per-bank refresh and reduce energy consumption. By using this method, compared to the basic allbank refresh model, the average weighted speed increases by about 6.4% and the energy consumption is reduced by about 51%.","PeriodicalId":259201,"journal":{"name":"International Conference on Critical Infrastructure Protection","volume":"337 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Critical Infrastructure Protection","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3290420.3290442","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

DRAM, which is mainly used as main memory, requires a refresh operation to maintain the integrity of stored data. Since memory read and write operations to a bank are not allowed while the bank is being refreshed, a lot of memory accesses may be blocked due to refresh, which may lead to significant performance degradation. Therefore, a lot of active studies to minimize this negative performance impact of refresh have been conducted. In a refresh scheme called per-bank refresh, the refresh unit will be one bank rather than all banks in a rank, allowing memory access to other banks while a certain bank in the same rank is refreshed. However, the per-bank refresh consumes more power than all-bank refresh. In this paper, we propose a per-bank refresh method with adaptive early termination, which allows both the refresh period and the size of each row group to be non-uniformly determined, to increase the efficiency of per-bank refresh and reduce energy consumption. By using this method, compared to the basic allbank refresh model, the average weighted speed increases by about 6.4% and the energy consumption is reduced by about 51%.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
高密度DRAM的自适应提前终止逐行刷新
DRAM主要用作主存储器,需要刷新操作来保持存储数据的完整性。由于在刷新存储库时不允许对存储库进行内存读写操作,因此可能会由于刷新而阻塞大量内存访问,这可能会导致显著的性能下降。因此,人们进行了大量积极的研究,以尽量减少刷新对性能的负面影响。在称为每银行刷新的刷新方案中,刷新单元将是一个银行,而不是同一排名中的所有银行,允许在同一排名中的某个银行被刷新时访问其他银行的内存。但是,每个银行刷新比所有银行刷新消耗更多的功率。本文提出了一种具有自适应提前终止的逐行刷新方法,该方法允许刷新周期和每行组的大小不均匀地确定,从而提高了逐行刷新的效率,降低了能耗。与基本的全库刷新模型相比,该方法平均加权速度提高约6.4%,能耗降低约51%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Deep learning chips: challenges and opportunities for ubiquitous power internet of things Secrecy relaying strategy over correlated fading channels using CSI estimation 3D anisotropie convolutional neural network with step transfer learning for liver segmentation Image feature fusion and its application based on trace transform and improved GLBP An improved AOR-based precoding for massive MIMO systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1