Generating Routing-Driven Power Distribution Networks With Machine-Learning Technique
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, pp. 1237-1250, 2017.
As technology node keeps scaling and design complexity keeps increasing, power distribution networks (PDNs) require more routing resource to meet IR-drop and electro-migration (EM) constraints. This paper presents a design flow to generate a PDN that can result in near-minimal overhead for the routing of the underlying standard cells whil...More
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