Synopsys, Inc.
Machine learning based power optimization using parallel training and localized data generation

Abstract:

A method of optimizing a power consumption of an integrated circuit design, includes dividing the integrated circuit design into N circuit partitions, supplying each circuit partition to a different one of N computer systems each associated with a different one of the N circuit partitions, training each of the N computer systems to reduce the power consumption of its associated circuit partition thereby to generate N training data, storing the N training data in a database, and applying the N training data to the integrated circuit design thereby to reduce the consumption of the integrated circuit design.