PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network

Author:

Xie Zhiyao,Ren Haoxing,Khailany Brucek,Sheng Ye,Santosh Santosh,Hu Jiang,Chen Yiran

Publisher

IEEE

Cited by 57 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. A Parallel Simulation Framework Incorporating Machine Learning-Based Hotspot Detection for Accelerated Power Grid Analysis;Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD;2024-09-09

3. ICDaIR: Distribution-aware Static IR Drop Prediction Flow Based on Image Classification;Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD;2024-09-09

4. 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

5. IR drop Prediction Based on Machine Learning and Pattern Reduction;Proceedings of the Great Lakes Symposium on VLSI 2024;2024-06-12

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