A Reinforced Learning Solution for Clock Skew Engineering to Reduce Peak Current and IR Drop

Author:

Beheshti-Shirazi Sayed Aresh1,Vakil Ashkan1,Manoj Sai1,Savidis Ioannis2,Homayoun Houman3,Sasan Avesta1

Affiliation:

1. George Mason University, Fairfax, VA, USA

2. Drexel University, Philadelphia, PA, USA

3. University of California, Davis, Davis, CA, USA

Publisher

ACM

Reference17 articles.

1. 2020. Synopsy EDA tools. http://synopsys.com/ Accessed July 10 2020. 2020. Synopsy EDA tools. http://synopsys.com/ Accessed July 10 2020.

Cited by 5 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. AI/ML algorithms and applications in VLSI design and technology;Integration;2023-11

2. Design a PnR Flow Implementation for Different IR Drop Targets;2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN);2023-05-05

3. Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization;IEEE Access;2023

4. Survey of Machine Learning for Electronic Design Automation;Proceedings of the Great Lakes Symposium on VLSI 2022;2022-06-06

5. Clock Optimization Techniques;2022 IEEE 5th International Conference on Electronics Technology (ICET);2022-05-13

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