Reinforcement Learning for the Optimization of Decoupling Capacitors in Power Delivery Networks

Author:

Han Seunghyup,Bhatti Osama Waqar,Swaminathan Madhavan

Publisher

IEEE

Cited by 8 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. Generating AI modules for decoupling capacitor placement using simulation;Advances in Radio Science;2023-12-01

2. Augmented Genetic Algorithm v2 with Reinforcement Learning for PDN Decap Optimization;2023 IEEE Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMC+SIPI);2023-07-29

3. Optimization of Decoupling Capacitors in VLSI Systems using Granularity Learning and Logistic Regression based PSO;2023 IEEE/MTT-S International Microwave Symposium - IMS 2023;2023-06-11

4. Transformer Network-Based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM);IEEE Transactions on Microwave Theory and Techniques;2022-11

5. Scalable Transformer Network-based Reinforcement Learning Method for PSIJ Optimization in HBM;2022 IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS);2022-10-09

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