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Design flows are the explicit combinations of design transformations,primarily involved in synthesis, placement and routing processes, to accomplishthe design of Integrated Circuits (ICs) and System-on-Chip (SoC). Mostly, theflows are developed based on the knowledge of the experts. However, due to thelarge search space of design flows and the increasing design complexity,developing Intellectual Property (IP)-specific synthesis flows providing highQuality of Result (QoR) is extremely challenging. This work presents a fullyautonomous framework that artificially produces design-specific synthesis flowswithout human guidance and baseline flows, using Convolutional Neural Network(CNN). The demonstrations are made by successfully designing logic synthesisflows of three large scaled designs.

Developing Synthesis Flows Without Human Knowledge