HAT-DRL: Hotspot-Aware Task Mapping for Lifetime Improvement of Multicore System using Deep Reinforcement Learning-Reference-Cited by-同舟云学术

HAT-DRL: Hotspot-Aware Task Mapping for Lifetime Improvement of Multicore System using Deep Reinforcement Learning

Published:2020-11-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD
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Author:

Zhang Jinwei¹,Sadiqbatcha Sheriff¹,Gao Yuanqi¹,O'Dea Michael¹,Yu Nanpeng¹,Tan Sheldon X.-D.¹

Affiliation:

1. University of California, Riverside, Riverside, CA, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3380446.3430623

Reference15 articles.

1. Towards interdependencies of aging mechanisms

2. Reinforcement Learning-Based Inter- and Intra-Application Thermal Optimization for Lifetime Improvement of Multicore Systems

3. Tuomas Haarnoja Aurick Zhou Pieter Abbeel and Sergey Levine. 2018. Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor. arXiv preprint arXiv:1801.01290 (2018). Tuomas Haarnoja Aurick Zhou Pieter Abbeel and Sergey Levine. 2018. Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor. arXiv preprint arXiv:1801.01290 (2018).

4. Intel. [n.d.]. Intel Performance Counter Monitor (PCM). https://software.intel.com/en-us/articles/intel-performance-counter-monitor. Intel. [n.d.]. Intel Performance Counter Monitor (PCM). https://software.intel.com/en-us/articles/intel-performance-counter-monitor.

5. Naghmeh Karimi Thorben Moos and Amir Moradi. 2019. Exploring the effect of device aging on static power analysis attacks. UMBC Faculty Collection (2019). Naghmeh Karimi Thorben Moos and Amir Moradi. 2019. Exploring the effect of device aging on static power analysis attacks. UMBC Faculty Collection (2019).

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