Vector-based Dynamic IR-drop Prediction Using Machine Learning

Author:

Chen Jia-Xian1,Liu Shi-Tang1,Wu Yu-Tsung1,Wu Mu-Ting1,Li Chieo-Mo1,Chang Norman2,Li Ying-Shiun2,Chuang Wen-Tze2

Affiliation:

1. Graduate Institute of Electronics Engineering, National Taiwan University,Taiwan

2. Ansys Inc.

Publisher

IEEE

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

2. UCMNet: Static IR Drop Estimation Using Attention Convolutional Network;2024 2nd International Symposium of Electronics Design Automation (ISEDA);2024-05-10

3. Dynamic IR-Drop Prediction of At-Speed Two-Vector Tests Using Machine Learning;2024 International VLSI Symposium on Technology, Systems and Applications (VLSI TSA);2024-04-22

4. Risk Propagation Based Vector Profiling for High Coverage Dynamic IR-Drop Analysis;2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD);2023-10-28

5. High-Speed, Low-Storage Power and Thermal Predictions for ATPG Test Patterns;2023 IEEE International Test Conference (ITC);2023-10-07

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