REINFORCEMENT LEARNING BASED CORRECTION OF TIMING FAILURES

Disclosed herein is a computer implemented method of correcting a timing failure of a network of conductors and repowering structures in an integrated circuit design using a reinforcement learning agent. The reinforcement learning agent comprises a neural network. The method comprises: receiving a g...

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Bibliographic Details
Main Authors Beck, Manuel, von der Ehe, Marvin, Boronowsky, Gregor, Friedmann, Simon Hermann, Stegmaier, Jan Niklas
Format Patent
LanguageEnglish
Published 11.07.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:Disclosed herein is a computer implemented method of correcting a timing failure of a network of conductors and repowering structures in an integrated circuit design using a reinforcement learning agent. The reinforcement learning agent comprises a neural network. The method comprises: receiving a graph comprising nodes and edges that encodes said network of conductors and repowering structures; and receiving a modification recommendation from said reinforcement learning agent in response to inputting said graph into said reinforcement learning agent.
Bibliography:Application Number: US202218063408