A prefetch control strategy based on improved hill-climbing method in asymmetric multi-core architecture

Author:

Fang Juan,Xu Yixiang,Kong Han,Cai Min

Abstract

AbstractCache prefetching is a traditional way to reduce memory access latency. In multi-core systems, aggressive prefetching may harm the system. In the past, prefetching throttling strategies usually set thresholds through certain factors. When the threshold is exceeded, prefetch throttling strategies will control the aggressive prefetcher. However, these strategies usually work well in homogeneous multi-core systems and do not work well in heterogeneous multi-core systems. This paper considers the performance difference between cores under the asymmetric multi-core architecture. Through the improved hill-climbing method, the aggressiveness of prefetching for different cores is controlled, and the IPC of the core is improved. Through experiments, it is found that compared with the previous strategy, the average performance of big core is improved by more than 3%, and the average performance of little cores is improved by more than 24%.

Funder

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference28 articles.

1. Lowe-Power J, Ahmad AM, Akram A, Alian M, Amslinger R, Andreozzi M, Armejach A, Asmussen N, Bharadwaj S, Black G, Bloom G, Bruce BR, Carvalho DR, Castrillón J, Chen, L, Derumigny N, Diestelhorst S, Elsasser W, Fariborz M, Farahani AF, Fotouhi P, Gambord R, Gandhi J, Gope D, Grass T, Hanindhito B, Hansson A, Haria S, Harris A, Hayes T, Herrera A, Horsnell M, Jafri SAR, Jagtap R, Jang H, Jeyapaul R, Jones TM, Jung M, Kannoth S, Khaleghzadeh H, Kodama Y, Krishna T, Marinelli T, Menard C, Mondelli A, Mück T, Naji O, Nathella K, Nguyen H, Nikoleris N, Olson LE, Orr MS, Pham B, Prieto P, Reddy T, Roelke A, Samani M, Sandberg A, Setoain J, Shingarov B, Sinclair MD, Ta T, Thakur R, Travaglini G, Upton M, Vaish N, Vougioukas I, Wang Z, Wehn N, Weis C, Wood DA, Yoon H, Zulian ÉF (2020) The gem5 simulator: version 20.0+. CoRR arXIv: abs/2007.03152

2. Ebrahimi E, Mutlu O, Chang JL, Patt YN ( 2009) Coordinated control of multiple prefetchers in multi-core systems. In: 42st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO-42 2009), December 12–16, 2009, New York, New York, USA

3. Sridharan A, Seznec A, Panda B (2017) Band-pass prefetching: an effective prefetch management mechanism using prefetch-fraction metric in multi-core systems. Acm Trans Archit Code Optim 14:1–27

4. Kim J, Pugsley SH, Gratz PV, Reddy A, Chishti Z (2016) Path confidence based lookahead prefetching. In: IEEE/ACM International Symposium on Microarchitecture

5. Bakhshalipour M, Shakerinava M, Lotfi-Kamran P, Sarbazi-Azad H ( 2019) Bingo spatial data prefetcher. In: 2019 IEEE International Symposium on High Performance Computer Architecture (HPCA)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3