Machine Learning and Algorithms: Let Us Team Up for EDA

Haoxing Ren,Brucek Khailany,Matthew Fojtik,Yanqing Zhang

IEEE Design & Test（2023）

引用 6|浏览19

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摘要

This article argues that the integration of machine learning (ML) techniques with well-established algorithmic approaches can overcome challenges faced by current applications of ML to electronic design automation problems. The standard cell routing problem is used as a showcase for the proposed approach.

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关键词

Routing,Games,Complexity theory,Generators,Optimization,Machine learning algorithms,Data models,Machine Learning,Placement and routing

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