Machine Learning in VLSI Design: A Comprehensive Review

Abstract

State-of-the-art ML applications and aspects of AI in VLSI/CAD EDA. As VLSI chip complexity increases, driven by shrinking chip sizes and higher performance demands, manufacturing high-performance chips poses significant challenges. Recent studies have investigated the use of Artificial Intelligence and Machine Learning in VLSI CAD/EDA (Computer-Aided Design/Electronic Design Automation). Machine Learning is experiencing a rapid growth in VLSI design and is being increasingly integrated into EDA tool development due to its capacity for achieving higher accuracy in reduced runtime. This paper offers a comprehensive review of the latest state-of-the-art ML applications in VLSI/CAD EDA.