Automatic Surrogate Model Generation and Debugging of Analog/Mixed-Signal Designs Via Collaborative Stimulus Generation and Machine Learning
Author:
Affiliation:
1. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia
Funder
Semiconductor Research Corporation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3394885.3431544
Reference16 articles.
1. Runtime Verification of Nonlinear Analog Circuits Using Incremental Time-Augmented RRT Algorithm
2. Equation-based behavioral model generation for nonlinear analog circuits
3. Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems
4. Support vector machines for analog circuit performance representation
5. Computer-aided design of analog and mixed-signal integrated circuits
Cited by 2 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. ML-Assisted Bug Emulation Experiments for Post-Silicon Multi-Debug of AMS Circuits;2022 IEEE International Test Conference (ITC);2022-09
2. An Application of AI Technologies to Surrogate Modeling for Simulators;Journal of The Japan Institute of Electronics Packaging;2022-08-01
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