Applying Machine Learning to Back End IC Design

Back end design refers to physical design of an ASIC, including place and route. The goal of this project is to use machine learning to set up the physical design tools on a design by design basis so that optimum results can be achieved with minimal human interaction.

Project PIs: Rhett Davis, Paul Franzon, Dror Baron

Research Thrust: Design and System Optimization; Verification

Research Timeline Jan 1, 2018 – Dec 31, 2019