M-CLOCK

Minhoe Lee, Donghyun Kang, Y. Eom
{"title":"M-CLOCK","authors":"Minhoe Lee, Donghyun Kang, Y. Eom","doi":"10.1145/3216730","DOIUrl":null,"url":null,"abstract":"Phase Change Memory (PCM) has drawn great attention as a main memory due to its attractive characteristics such as non-volatility, byte-addressability, and in-place update. However, since the capacity of PCM is not fully mature yet, hybrid memory architecture that consists of DRAM and PCM has been suggested as a main memory. In addition, page replacement algorithm based on hybrid memory architecture is actively being studied, because existing page replacement algorithms cannot be used on hybrid memory architecture in that they do not consider the two weaknesses of PCM: high write latency and low endurance. In this article, to mitigate the above hardware limitations of PCM, we revisit the page cache layer for the hybrid memory architecture and propose a novel page replacement algorithm, called M-CLOCK, to improve the performance of hybrid memory architecture and the lifespan of PCM. In particular, M-CLOCK aims to reduce the number of PCM writes that negatively affect the performance of hybrid memory architecture. Experimental results clearly show that M-CLOCK outperforms the state-of-the-art page replacement algorithms in terms of the number of PCM writes and effective memory access time by up to 98% and 9.4 times, respectively.","PeriodicalId":273014,"journal":{"name":"ACM Transactions on Storage (TOS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Storage (TOS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3216730","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Phase Change Memory (PCM) has drawn great attention as a main memory due to its attractive characteristics such as non-volatility, byte-addressability, and in-place update. However, since the capacity of PCM is not fully mature yet, hybrid memory architecture that consists of DRAM and PCM has been suggested as a main memory. In addition, page replacement algorithm based on hybrid memory architecture is actively being studied, because existing page replacement algorithms cannot be used on hybrid memory architecture in that they do not consider the two weaknesses of PCM: high write latency and low endurance. In this article, to mitigate the above hardware limitations of PCM, we revisit the page cache layer for the hybrid memory architecture and propose a novel page replacement algorithm, called M-CLOCK, to improve the performance of hybrid memory architecture and the lifespan of PCM. In particular, M-CLOCK aims to reduce the number of PCM writes that negatively affect the performance of hybrid memory architecture. Experimental results clearly show that M-CLOCK outperforms the state-of-the-art page replacement algorithms in terms of the number of PCM writes and effective memory access time by up to 98% and 9.4 times, respectively.
M-CLOCK
相变存储器(PCM)由于其非易失性、字节可寻址性和就地更新等特性而受到广泛关注。但是,由于PCM的容量尚未完全成熟,因此有人建议将DRAM和PCM组成的混合存储器结构作为主存储器。此外,基于混合内存架构的页面替换算法也正在积极研究中,因为现有的页面替换算法没有考虑到PCM的两个弱点:高写延迟和低持久时间,因此无法在混合内存架构上使用。在本文中,为了减轻PCM的上述硬件限制,我们重新审视了混合内存架构的页面缓存层,并提出了一种新的页面替换算法M-CLOCK,以提高混合内存架构的性能和PCM的使用寿命。特别是,M-CLOCK旨在减少对混合内存架构的性能产生负面影响的PCM写入次数。实验结果清楚地表明,M-CLOCK在PCM写次数和有效内存访问时间方面分别比最先进的页面替换算法高出98%和9.4倍。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信