Co-manage power delivery and consumption for manycore systems using reinforcement learning-Reference-Cited by-同舟云学术

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Co-manage power delivery and consumption for manycore systems using reinforcement learning

Published:2018-11-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Computer-Aided Design
language:
Short-container-title:

Author:

Li Haoran¹,Tian Zhongyuan¹,Maeda Rafael K. V.¹,Chen Xuanqi¹,Feng Jun¹,Xu Jiang¹

Affiliation:

1. Hong Kong University of Science and Technology, Hong Kong SAR, China

Funder

IRS

FSGRF

GRF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3240765.3240787

Reference30 articles.

1. {n. d.}. Fairchild Semiconductor https://www.fairchildsemi.com {n. d.}. Fairchild Semiconductor https://www.fairchildsemi.com

2. {n. d.}. Linux Governors. https://www.kernel.org/doc/Documentation/cpu-freq/governors.txt {n. d.}. Linux Governors. https://www.kernel.org/doc/Documentation/cpu-freq/governors.txt

3. Khaled M. Attia Mostafa A. El-Hosseini and Hesham A. Ali. 2015. Dynamic power management techniques in multi-core architectures: A survey study. Ain Shams Eng. J. (2015). Khaled M. Attia Mostafa A. El-Hosseini and Hesham A. Ali. 2015. Dynamic power management techniques in multi-core architectures: A survey study. Ain Shams Eng. J. (2015).

4. A communication characterisation of Splash-2 and Parsec

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