Archivio Istituzionale della RicercaPower Delivery Network (PDN) optimization is crucial for guaranteeing adequate power integrity performance in modern microprocessor systems. In this work, we introduce a novel surrogate modeling workflow for efficiently predicting the worst-case voltage droop occurring at the loading points of a PDN including a set of free design parameters. We apply the proposed approach for modeling the impact of a set of decoupling capacitors on the performance of a template PDN structure.
Efficient Parametric Assessment of Worst-Case Voltage Droop in Power Delivery Networks / Bradde, Tommaso; Carlucci, Antonio; Trinchero, Riccardo; Manfredi, Paolo; Grivet-Talocia, Stefano. - ELETTRONICO. - (2024). (Intervento presentato al convegno 2024 IEEE 33rd Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) tenutosi a Toronto (Can) nel 06-09 October 2024) [10.1109/epeps61853.2024.10754453].
Efficient Parametric Assessment of Worst-Case Voltage Droop in Power Delivery Networks
Bradde, Tommaso;Carlucci, Antonio;Trinchero, Riccardo;Manfredi, Paolo;Grivet-Talocia, Stefano
2024
Abstract
Power Delivery Network (PDN) optimization is crucial for guaranteeing adequate power integrity performance in modern microprocessor systems. In this work, we introduce a novel surrogate modeling workflow for efficiently predicting the worst-case voltage droop occurring at the loading points of a PDN including a set of free design parameters. We apply the proposed approach for modeling the impact of a set of decoupling capacitors on the performance of a template PDN structure.
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cnf-2024-epeps-droop-IEEE-1-mini.pdf
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https://hdl.handle.net/11583/2995141