Generating Routing-Driven Power Distribution Networks With Machine-Learning Technique
Author:
Funder
NOVATEK Fellowship
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/43/7982827/07807300.pdf?arnumber=7807300
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1. Routability-driven Power/Ground Network Optimization Based on Machine Learning;ACM Transactions on Design Automation of Electronic Systems;2023-05-17
2. Drain-to-Drain Abutment-Aware Detailed Placement Refinement for Power Staple Insertion Optimization;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-04
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. Efficient Detailed Routing for FPGA Back-End Flow Using Reinforcement Learning;Electronics;2022-07-18
5. Survey of Machine Learning for Electronic Design Automation;Proceedings of the Great Lakes Symposium on VLSI 2022;2022-06-06
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