Synopsys, Inc.
Deep learning for fixability prediction of power/ground via DRC violations

Abstract:

A computerized system is disclosed. The computerized system may include one or more processors configured to perform the operations stored in a memory. The operations may include receiving a first circuit design pattern including a DRC violation and generating a first pattern matrix based on the first circuit design pattern, and updating the first circuit design pattern, based on the first pattern matrix, to fix the DRC violation. The operations may also include determining a possibility of a DRC violation-free first circuit design pattern corresponding to the first pattern matrix, and generating a first target label specifying the fixability corresponding to the first pattern matrix based on the determined possibility of the DRC violation-free first circuit design pattern. The first pattern matrix and the first target label may be used as training data to train a machine-learning model to predict fixability of the DRC violation.