A deep learning methodology to proliferate golden signoff timing
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IEEE Conference Publications
Cited by 7 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. Pre-route timing prediction and optimization with graph neural network models;Integration;2024-11
2. DTOC-P: Deep-Learning-Driven Timing Optimization Using Commercial EDA Tool With Practicality Enhancement;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2024-08
3. Applications of VLSI Design in Artificial Intelligence and Machine Learning;Machine Learning for VLSI Chip Design;2023-06-23
4. RC-GNN: Fast and Accurate Signoff Wire Delay Estimation with Customized Graph Neural Networks;2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS);2023-06-11
5. DTOC: integrating Deep-learning driven Timing Optimization into the state-of-the-art Commercial EDA tool;2023 Design, Automation & Test in Europe Conference & Exhibition (DATE);2023-04
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