Machine Learning for high speed channel optimization

Jiayi He; Aravind Sampath Kumar; Arun Chada; Bhyrav Mutnury; James Drewniak

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arXiv · 1911.04317

Machine Learning for high speed channel optimization

Jiayi He·Aravind Sampath Kumar·Arun Chada·Bhyrav Mutnury·James Drewniak

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Abstract

Design of printed circuit board (PCB) stack-up requires the consideration of characteristic impedance, insertion loss and crosstalk. As there are many parameters in a PCB stack-up design, the optimization of these parameters needs to be efficient and accurate. A less optimal stack-up would lead to expensive PCB material choices in high speed designs. In this paper, an efficient global optimization method using parallel and intelligent Bayesian optimization is proposed for the stripline design.

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Jiayi He, Aravind Sampath Kumar, Arun Chada, Bhyrav Mutnury, James Drewniak. 2019-11-01. Machine Learning for high speed channel optimization. https://arxiv.org/abs/1911.04317

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