Deep Reinforcement Learning-based Pin Assignment Optimization of BGA Packages considering Signal Integrity with Graph Representation-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning-based Pin Assignment Optimization of BGA Packages considering Signal Integrity with Graph Representation

Published:2021-10-17 Issue: Volume: Page:
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Container-title:2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)
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Author:

Park Joonsang,Kim Minsu,Kim Seongguk,Son Keeyoung,Shin Taein,Park Hyunwook,Kim Jihun,Choi Seonguk,Kim Haeyeon,Kim Keunwoo,Kim Joungho

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9607744/9609110/09609139.pdf?arnumber=9609139

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. Pin-Opt: Graph Representation Learning for Large-Scale Pin Assignment Optimization of Microbumps Considering Signal and Power Integrity;IEEE Transactions on Components, Packaging and Manufacturing Technology;2024-04

2. Efficient EMI Analysis and Self-Shielding Design Method for Pin Map of System-in-Package;IEEE Transactions on Electromagnetic Compatibility;2023-12

3. Deep Reinforcement Learning-Based Optimal and Fast Hybrid Equalizer Design Method for High-Bandwidth Memory (HBM) Module;IEEE Transactions on Components, Packaging and Manufacturing Technology;2023-11

4. Deep Reinforcement Learning-Based Pin Map Optimization of BGA Package for EMC;2023 International Applied Computational Electromagnetics Society Symposium (ACES-China);2023-08-15

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