This paper presents a model order reduction approach, specifically designed for the generation of compact and efficient transient simulation models of system-level power distribution networks (PDN) of multicore processor systems. The proposed approach applies a Krylov subspace projection, with a structure that is adapted to a block-coupled state-space description of individual PDN subsystems. The latter include board-package, averaged models of integrated voltage regulators switching circuitry, and individual models of all cores including regulator inductors and capacitors. Numerical results from pro-posed reduced-order models provide major speedup with respect to SPICE with negligible loss of accuracy.
A Structured Krylov Subspace Projection Framework for Fast Power Integrity Verification / Carlucci, Antonio; Grivet-Talocia, Stefano; Mongrain, Scott; Kulasekaran, Sid; Radhakrishnan, Kaladhar. - ELETTRONICO. - (2023), pp. 1-4. (Intervento presentato al convegno 2023 IEEE 27th Workshop on Signal and Power Integrity (SPI) tenutosi a Aveiro, Portugal nel 07-10 May 2023) [10.1109/SPI57109.2023.10145566].
A Structured Krylov Subspace Projection Framework for Fast Power Integrity Verification
Carlucci, Antonio;Grivet-Talocia, Stefano;
2023
Abstract
This paper presents a model order reduction approach, specifically designed for the generation of compact and efficient transient simulation models of system-level power distribution networks (PDN) of multicore processor systems. The proposed approach applies a Krylov subspace projection, with a structure that is adapted to a block-coupled state-space description of individual PDN subsystems. The latter include board-package, averaged models of integrated voltage regulators switching circuitry, and individual models of all cores including regulator inductors and capacitors. Numerical results from pro-posed reduced-order models provide major speedup with respect to SPICE with negligible loss of accuracy.File | Dimensione | Formato | |
---|---|---|---|
cnf-2023-spi-apis-ieee.pdf
non disponibili
Tipologia:
2a Post-print versione editoriale / Version of Record
Licenza:
Non Pubblico - Accesso privato/ristretto
Dimensione
1.43 MB
Formato
Adobe PDF
|
1.43 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
cnf-2023-spi-apis.pdf
accesso aperto
Tipologia:
2. Post-print / Author's Accepted Manuscript
Licenza:
PUBBLICO - Tutti i diritti riservati
Dimensione
640.14 kB
Formato
Adobe PDF
|
640.14 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2979366