CAPE:基于 NCFET 高速缓存的临界值感知性能和能量优化策略

IF 3.6 2区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Transactions on Computers Pub Date : 2024-09-11 DOI:10.1109/TC.2024.3457734
Divya Praneetha Ravipati;Ramanuj Goel;Victor M. van Santen;Hussam Amrouch;Preeti Ranjan Panda
{"title":"CAPE:基于 NCFET 高速缓存的临界值感知性能和能量优化策略","authors":"Divya Praneetha Ravipati;Ramanuj Goel;Victor M. van Santen;Hussam Amrouch;Preeti Ranjan Panda","doi":"10.1109/TC.2024.3457734","DOIUrl":null,"url":null,"abstract":"Caches are crucial yet power-hungry components in present-day computing systems. With the Negative Capacitance Fin Field-Effect Transistor (NCFET) gaining significant attention due to its internal voltage amplification, allowing for better operation at lower voltages (stronger ON-current and reduced leakage current), the introduction of NCFET technology in caches can reduce power consumption without loss in performance. Apart from the benefits offered by the technology, we leverage the unique characteristics offered by NCFETs and propose a dynamic voltage scaling based criticality-aware performance and energy optimization policy (CAPE) for on-chip caches. We present the first work towards optimizing energy in NCFET-based caches with minimal impact on performance. Compared to operating at a nominal voltage of 0.7 V, CAPE shows improvement in Last-Level Cache (LLC) energy savings by up to 19.2%, while the baseline policies devised for traditional CMOS- (/FinFET-) based caches are ineffective in improving NCFET-based LLC energy savings. Compared to the considered baseline policies, our CAPE policy also demonstrates better LLC energy-delay product (EDP) and throughput savings.","PeriodicalId":13087,"journal":{"name":"IEEE Transactions on Computers","volume":"73 12","pages":"2830-2843"},"PeriodicalIF":3.6000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CAPE: Criticality-Aware Performance and Energy Optimization Policy for NCFET-Based Caches\",\"authors\":\"Divya Praneetha Ravipati;Ramanuj Goel;Victor M. van Santen;Hussam Amrouch;Preeti Ranjan Panda\",\"doi\":\"10.1109/TC.2024.3457734\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Caches are crucial yet power-hungry components in present-day computing systems. With the Negative Capacitance Fin Field-Effect Transistor (NCFET) gaining significant attention due to its internal voltage amplification, allowing for better operation at lower voltages (stronger ON-current and reduced leakage current), the introduction of NCFET technology in caches can reduce power consumption without loss in performance. Apart from the benefits offered by the technology, we leverage the unique characteristics offered by NCFETs and propose a dynamic voltage scaling based criticality-aware performance and energy optimization policy (CAPE) for on-chip caches. We present the first work towards optimizing energy in NCFET-based caches with minimal impact on performance. Compared to operating at a nominal voltage of 0.7 V, CAPE shows improvement in Last-Level Cache (LLC) energy savings by up to 19.2%, while the baseline policies devised for traditional CMOS- (/FinFET-) based caches are ineffective in improving NCFET-based LLC energy savings. Compared to the considered baseline policies, our CAPE policy also demonstrates better LLC energy-delay product (EDP) and throughput savings.\",\"PeriodicalId\":13087,\"journal\":{\"name\":\"IEEE Transactions on Computers\",\"volume\":\"73 12\",\"pages\":\"2830-2843\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2024-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Computers\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10677426/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Computers","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10677426/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0

摘要

高速缓存是当今计算系统中非常重要但又非常耗电的组件。负电容鳍式场效应晶体管(NCFET)具有内部电压放大功能,能在较低电压下更好地工作(导通电流更大,漏电流更小),因此备受关注。除了该技术带来的优势外,我们还利用 NCFET 的独特特性,为片上高速缓存提出了基于临界值感知的动态电压扩展性能和能耗优化策略(CAPE)。我们首次提出了在对性能影响最小的情况下优化基于 NCFET 的高速缓存能耗的方法。与在 0.7 V 标称电压下工作相比,CAPE 在最后一级高速缓存(LLC)节能方面的改进高达 19.2%,而为基于传统 CMOS(/FinFET)的高速缓存设计的基准策略在改进基于 NCFET 的 LLC 节能方面效果不佳。与所考虑的基准策略相比,我们的 CAPE 策略还能更好地节省 LLC 能量-延迟积(EDP)和吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
CAPE: Criticality-Aware Performance and Energy Optimization Policy for NCFET-Based Caches
Caches are crucial yet power-hungry components in present-day computing systems. With the Negative Capacitance Fin Field-Effect Transistor (NCFET) gaining significant attention due to its internal voltage amplification, allowing for better operation at lower voltages (stronger ON-current and reduced leakage current), the introduction of NCFET technology in caches can reduce power consumption without loss in performance. Apart from the benefits offered by the technology, we leverage the unique characteristics offered by NCFETs and propose a dynamic voltage scaling based criticality-aware performance and energy optimization policy (CAPE) for on-chip caches. We present the first work towards optimizing energy in NCFET-based caches with minimal impact on performance. Compared to operating at a nominal voltage of 0.7 V, CAPE shows improvement in Last-Level Cache (LLC) energy savings by up to 19.2%, while the baseline policies devised for traditional CMOS- (/FinFET-) based caches are ineffective in improving NCFET-based LLC energy savings. Compared to the considered baseline policies, our CAPE policy also demonstrates better LLC energy-delay product (EDP) and throughput savings.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
IEEE Transactions on Computers
IEEE Transactions on Computers 工程技术-工程:电子与电气
CiteScore
6.60
自引率
5.40%
发文量
199
审稿时长
6.0 months
期刊介绍: The IEEE Transactions on Computers is a monthly publication with a wide distribution to researchers, developers, technical managers, and educators in the computer field. It publishes papers on research in areas of current interest to the readers. These areas include, but are not limited to, the following: a) computer organizations and architectures; b) operating systems, software systems, and communication protocols; c) real-time systems and embedded systems; d) digital devices, computer components, and interconnection networks; e) specification, design, prototyping, and testing methods and tools; f) performance, fault tolerance, reliability, security, and testability; g) case studies and experimental and theoretical evaluations; and h) new and important applications and trends.
期刊最新文献
CUSPX: Efficient GPU Implementations of Post-Quantum Signature SPHINCS+ Chiplet-Gym: Optimizing Chiplet-based AI Accelerator Design with Reinforcement Learning FLALM: A Flexible Low Area-Latency Montgomery Modular Multiplication on FPGA Novel Lagrange Multipliers-Driven Adaptive Offloading for Vehicular Edge Computing Leveraging GPU in Homomorphic Encryption: Framework Design and Analysis of BFV Variants
×
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