Design Rule Checking with Deep Networks

In this seed project, we investigated the feasibility of training a deep convolutional network to perform Design Rule Checking (DRC). By replacing DRC with a recognition network, we hope to greatly speed it up. After showing initial feasibility, in following years, we investigated tying DRC to interactive layout tools.

Project PIs: Paul Franzon, Rhett Davis

Research Thrust: Verification

Research Timeline Jan 1, 2017 – Dec 31, 2017