Work

Efficient Parametric Assessment of Worst-Case Voltage Droop in Power Delivery Networks

Year: 2024

Type: conference-paper

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.

Source: IEEE Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)

DOI: 10.1109/epeps61853.2024.10754453

Authors: Tommaso Bradde, Antonio Carlucci, Riccardo Trinchero, Paolo Manfredi, Stefano Grivet-Talocia

Institution: Politecnico di Torino

Language: English

Topic: Low-power high-performance VLSI design

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: green

OpenAlex ID: W4404577408