FEEP: Functional ECO Synthesis with Efficient Patch Minimization
2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)(2023)
摘要
Functional engineering change order (ECO) has been an essential process in modern complex integrated circuit design. Finding a high-quality circuit patch efficiently has long been a challenge. This paper proposes FEEP, an automatic and efficient synthesis-based functional ECO method. Structural pruning and stratified searching techniques are proposed to minimize search space without extra logical equivalence checks. Moreover, we propose a machine-learning-based two-stage patch size predictor that assists in predicting patch quality. Experimental results show that our algorithm can efficiently search and produce high-quality patches under various test cases.
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关键词
Engineering change order (ECO),equivalence checking (EC),electronics design automation (EDA),machine learning (ML),circuit patch
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