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Hierarchical Automatic Power Plane Generation with Genetic Optimization and Multilayer Perceptron. (arXiv:2210.16314v2 [cs.NE] UPDATED)
Nov. 4, 2022, 1:13 a.m. | Haiguang Liao, Vinay Patil, Xuliang Dong, Devika Shanbhag, Elias Fallon, Taylor Hogan, Mirko Spasojevic, Levent Burak Kara
cs.LG updates on arXiv.org arxiv.org
We present an automatic multilayer power plane generation method to
accelerate the design of printed circuit boards (PCB). In PCB design, while
automatic solvers have been developed to predict important indicators such as
the IR-drop, power integrity, and signal integrity, the generation of the power
plane itself still largely relies on laborious manual methods. Our automatic
power plane generation approach is based on genetic optimization combined with
a multilayer perceptron and is able to automatically generate power planes
across a …
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