VLSI and Hardware Implementations using Modern Machine Learning Methods

7 Applications of Machine Learning in VLSI Design

Sneh Saurabh, Pranav Jain, Madhvi Agarwal, and OVS Shashank Ram

IIIT DelhiDelhi, India

1. CONTENTS
2. 7.1 Introduction
3. 7.2 Machine Learning Preliminaries
4. 7.3 System-Level Design
5. 7.4 Logic Synthesis and Physical Design
6. 7.5 Verification
7. 7.6 Test, Diagnosis, and Validation
8. 7.7 Challenges
9. 7.8 Conclusions
10. References

DOI: 10.1201/9781003201038-7

7.1 Introduction

With refinement and decreasing abstraction level, the number of components in a design increases. At lower levels of abstraction, electronic design automation (EDA) tools routinely are required to handle billions of entities. Therefore, these tools need to operate on voluminous data and complex models to accomplish various tasks that can be ...