Developing Synthesis Flows Without Human Knowledge

Abstract

Design ows are the explicit combinations of design transformations, primarily involved in synthesis, placement and routing processes, to accomplish the design of Integrated Circuits (ICs) and System-on-Chip (SoC). Mostly, the ows are developed based on the knowledge of the experts. However, due to the large search space of design ows and the increasing design complexity, developing Intellectual Property (IP)-specic synthesis ows providing high Quality of Result (QoR) is extremely challenging. This work presents a fully autonomous framework that articially produces design-specic synthesis ows without human guidance and baseline ows, using Convolutional Neural Network (CNN). The demonstrations are made by successfully designing logic synthesis ows of three large scaled designs.