Modifying a current circuit design using data from one or more previous circuit designs identified as being similar to the current circuit design

Abstract

A method of electronic design automation (EDA) using machine learning to modify a current circuit design is provided. The method includes searching for data associated with previous design sessions for previous circuit designs, the searching being performed by implementing machine learning to identify similarities between the current circuit design and the previous circuit designs and the searching providing simulation data identifying the previous design sessions and simulation results of the previous design sessions, determining, in dependence on the simulation data, a respective degree of relevance between the current circuit design and the previous circuit designs, and performing a modification by applying the simulation data to the current circuit design based on the degree of relevance, the applying of the simulation data including performing simulations that apply values obtained from the simulation data to parameters related to the current circuit design and settings related to a simulation of the current design.