Generative AI Techniques for VLSI Design Automation

Abstract

The design of Very Large Scale Integration (VLSI) circuits has become increasingly complex, requiring high levels of automation to meet the demands of performance, power, and area. Recent advances in Generative Artificial Intelligence (AI) offer promising techniques for automating various stages of VLSI design, including logic synthesis, placement, routing, and verification. This paper presents a comprehensive review of the current state-of-the-art generative AI approaches applied to VLSI design automation, highlighting their potential benefits, limitations, and future research directions. The review also discusses practical considerations, tool integration, and case studies demonstrating the effectiveness of AI-assisted design processes.

KEYWORDS: VLSI, Design Automation, Generative AI, Machine Learning, Placement, Routing, HDL Generation