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

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.

Authors

Institutions

Publication Details

Published
2024-10-06
DOI
https://doi.org/10.1109/epeps61853.2024.10754453
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Riccardo Trinchero, Antonio Carlucci, S. Grivet‐Talocia, Tommaso Bradde et al.
Advanced Battery Technologies Research
article

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

Riccardo Trinchero, Antonio Carlucci, S. Grivet‐Talocia, Tommaso Bradde, Paolo Mandredi
article en

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.

Politecnico di Torino (IT)
Openalex Percentile: Top 78%
Advanced Battery Technologies Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.