Generating Routing-Driven Power Distribution Networks With Machine-Learning Technique

Chien-Hsueh Lin
Chien-Hsueh Lin
Li-De Chen
Li-De Chen
Cheng-Hong Tsai
Cheng-Hong Tsai
Yen-Chih Chiu
Yen-Chih Chiu

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, pp. 1237-1250, 2017.

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Keywords:
RoutingMetalsWiresBuildingsStandardsMore(2+)

Abstract:

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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