Archivio Istituzionale della RicercaThis paper considers a complete power delivery network model of a multicore processing system, including per-core voltage regulation loops through Fully Integrated Voltage Regulators. Based on a nonlinear descriptor formulation of the system equations, we propose a transient solver based on a two-level Waveform Relaxation iteration. The convergence properties and the scalability of this solver when implemented on a parallel computing architecture are investigated. Numerical results show fast convergence and excellent scalability properties.
A Two-Level Waveform Relaxation Approach for System-Level Power Delivery Verification / Moglia, Alessandro; Carlucci, Antonio; Grivet-Talocia, Stefano; Mongrain, Scott; Kulasekaran, Sid; Radhakrishnan, Kaladhar. - ELETTRONICO. - (2023), pp. 1-3. (Intervento presentato al convegno 2023 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS) tenutosi a Rose Hill (Mauritius) nel 12-14 December 2023) [10.1109/edaps58880.2023.10468326].
A Two-Level Waveform Relaxation Approach for System-Level Power Delivery Verification
Moglia, Alessandro;Carlucci, Antonio;Grivet-Talocia, Stefano;
2023
Abstract
This paper considers a complete power delivery network model of a multicore processing system, including per-core voltage regulation loops through Fully Integrated Voltage Regulators. Based on a nonlinear descriptor formulation of the system equations, we propose a transient solver based on a two-level Waveform Relaxation iteration. The convergence properties and the scalability of this solver when implemented on a parallel computing architecture are investigated. Numerical results show fast convergence and excellent scalability properties.
| File | Dimensione | Formato | |
|---|---|---|---|
|
cnf-2023-edaps-WR-IEEE.pdf
accesso riservato
Tipologia:
2a Post-print versione editoriale / Version of Record
Licenza:
Non Pubblico - Accesso privato/ristretto
Dimensione
759.01 kB
Formato
Adobe PDF
|
759.01 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
|
cnf-2023-edaps-WR.pdf
accesso aperto
Tipologia:
2. Post-print / Author's Accepted Manuscript
Licenza:
Pubblico - Tutti i diritti riservati
Dimensione
274.83 kB
Formato
Adobe PDF
|
274.83 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/11583/2987347