GNN-Opt: Enhancing Automated Circuit Design Optimization with Graph Neural Networks

Abstract

We introduce “GNN-Opt,” a method that adapts “DNN-Opt’s” machine learning approach for analog circuit design, particularly op-amp sizing. By utilizing Graph Neural Networks, GNN-Opt demonstrates superior efficiency in transferring design knowledge across similar topologies, accelerating to achieve higher FoM with same simulation times.