This paper presents a novel Model Order Reduction approach as an extension of the well-known Balanced Truncation. The key contribution is a semi-analytical approach for the numerical evaluation of the Gramian matrices that are functional for optimal reduction of large-scale state-space systems. Appli- cation to product-level full-system Power Distribution Networks including integrated voltage regulation circuitry allows transient verification in more than 200× faster than SPICE.
Balancing-Based Model Reduction for Fast Power Integrity Verification / Carlucci, Antonio; Grivet-Talocia, Stefano; Mongrain, Scott; Kulasekaran, Sid; Radhakrishnan, Kaladhar. - ELETTRONICO. - (2023), pp. 1-3. (Intervento presentato al convegno 2023 IEEE 32nd Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) tenutosi a Milpitas, CA, USA nel 15-18 October 2023) [10.1109/EPEPS58208.2023.10314870].
Balancing-Based Model Reduction for Fast Power Integrity Verification
Carlucci, Antonio;Grivet-Talocia, Stefano;
2023
Abstract
This paper presents a novel Model Order Reduction approach as an extension of the well-known Balanced Truncation. The key contribution is a semi-analytical approach for the numerical evaluation of the Gramian matrices that are functional for optimal reduction of large-scale state-space systems. Appli- cation to product-level full-system Power Distribution Networks including integrated voltage regulation circuitry allows transient verification in more than 200× faster than SPICE.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2985822