Fine-grain temperature monitoring for many-core systems

Author:

da Silva Alzemiro Lucas1,Martins André Luís del Mestre2,Moraes Fernando Gehm1

Affiliation:

1. PUCRS - Porto Alegre, Brazil

2. IFSUL - Charqueadas, Brazil

Funder

FAPERGS

CAPES

CNPq

Publisher

ACM Press

Reference21 articles.

1. G. Castilhos, F. G. Moraes, and L. Ost. 2016. A Lightweight Software-based Runtime Temperature Monitoring Model for Multiprocessor Embedded Systems. In SBCCI. IEEE, 1--6.

2. Ayse Kivilcim Coskun, T. T. Rosing, Keith Whisnant, and Kenny C. Gross. 2008. Static and Dynamic Temperature-aware Scheduling for Multiprocessor SoCs. IEEE Transactions on Very Large Scale Integrated Systems 16, 9 (2008), 1127--1140.

3. Mohamad El Ahmad, Mohamad Najem, Pascal Benoit, Gilles Sassatelli, and Lionel Torres. 2018. PoETE: A Method to Design Temperature-Aware Integrated Systems. Journal of Low Power Electronics 14, 1 (2018), 1--7.

4. H. Esmaeilzadeh, E. Blem, E. St Amant, K. Sankaralingam, and D. Burger. 2011. Dark Silicon and the End of Multicore Scaling. In ISCA. IEEE, 365--376.

5. Wei Huang, Shougata Ghosh, Sivakumar Velusamy, Karthik Sankaranarayanan, Kevin Skadron, and Mircea R Stan. 2006. Hotspot: A Compact Thermal Modeling Methodology for Early-stage VLSI Design. IEEE Transactions on Very Large Scale Integration Systems 14, 5 (2006), 501--513.

Cited by 4 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

1. FLEA - FIT-Aware Heuristic for Application Allocation in Many-Cores based on Q-Learning;2023 XIII Brazilian Symposium on Computing Systems Engineering (SBESC);2023-11-21

2. Chronos-v: a many-core high-level model with support for management techniques;Analog Integrated Circuits and Signal Processing;2023-10-24

3. Non-intrusive Monitoring Framework for NoC-based Many-Cores;2022 XII Brazilian Symposium on Computing Systems Engineering (SBESC);2022-11-21

4. Machine learning based workload balancing scheme for minimizing stress migration induced aging in multicore processors;International Journal of Information Technology;2022-09-24

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