Machine Learning for Electronic Design Automation: A Survey

With the down-scaling of CMOS technology, design complexity very large-scale integrated is increasing. Although application machine learning (ML) techniques in electronic automation (EDA) can trace its history back to 1990s, recent breakthrough ML and increasing EDA tasks have aroused more interest incorporating solve tasks. In this article, we present a comprehensive review existing for studies, organized following hierarchy.