This work presents a method for generating compact SPICE-compliant IC buffer models using the vector-valued Kernel Ridge Regression (VV-KRR). Power supply variations are captured, and model complexity is reduced with a compression technique based on the random sampling or the Nystrom approximation. The compressed models are then implemented in SPICE, and their performance is evaluated on a realistic test case.

SPICE-Based Behavioral Models of IC Buffers via Compact Kernel Regressions / Atlante, Marco; Trinchero, Riccardo; Stievano, Igor S.; Telescu, Mihai; Tanguy, Noël. - ELETTRONICO. - (2025), pp. 1-4. (Intervento presentato al convegno 2025 IEEE 29th Workshop on Signal and Power Integrity (SPI) tenutosi a Gaeta (Ita) nel 11-14 May 2025) [10.1109/spi64682.2025.11014356].

SPICE-Based Behavioral Models of IC Buffers via Compact Kernel Regressions

Atlante, Marco;Trinchero, Riccardo;Stievano, Igor S.;
2025

Abstract

This work presents a method for generating compact SPICE-compliant IC buffer models using the vector-valued Kernel Ridge Regression (VV-KRR). Power supply variations are captured, and model complexity is reduced with a compression technique based on the random sampling or the Nystrom approximation. The compressed models are then implemented in SPICE, and their performance is evaluated on a realistic test case.
2025
979-8-3315-2061-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/3000469