Generating Routing-Driven Power Distribution Networks with Machine-Learning Technique
ISPD'16: International Symposium on Physical Design Santa Rosa California USA April, 2016, pp. 145-152, 2016.
As technology node keeps scaling and design complexity keeps increasing, power distribution networks (PDNs) require more routing resource to meet IR-drop and EM constraints. This paper presents a design flow to generate a PDN that can result in minimal overhead for the routing of the underlying standard cells while satisfying both IR-drop...More
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