Publications

Opportunities for machine learning in electronic design automation

Abstract

The rise of machine learning (ML) has introduced many opportunities for computer-aided-design, VLSI design, and their intersection. Related to computer-aided design, we review several classical CAD algorithms which can benefit from ML, outline the key challenges, and discuss promising approaches. In particular, because some of the existing ML accelerators have used asynchronous design, we review the state-of-the-art in asynchronous CAD support, and identify opportunities for ML within these flows.

Date
2018
Authors
Peter A Beerel, Massoud Pedram
Conference
2018 IEEE International Symposium on Circuits and Systems (ISCAS)
Pages
1-5
Publisher
IEEE