Cavities' Identification Algorithm for Power Integrity Analysis of Complex Boards

S. Cicerone
Antonio Orlandi
Jun Fan, Missouri University of Science and Technology
James L. Drewniak, Missouri University of Science and Technology
Bruce Archambeault, Missouri University of Science and Technology
Samuel Connor

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The analysis and the design of the power delivery network (PDN) is crucial in the real world of high-speed and high-performance on-board systems. In this context, the cavity model (where facing portions of power bus are considered electromagnetic resonant cavities) can be used to study the generation and propagation of noise. Given a real-world board's layout, one of the primary requirements for the application of this technique isnoise the geometrical identification of all the cavities and their connectivity. This paper is focused on the fully automatic generation of this geometrical dataset as part of an integrated tool for the analysis and design of PDN.