A Compressed Multivariate Macromodeling Framework for Fast Transient Verification of System-Level Power Delivery Networks
Author:
Affiliation:
1. Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy
2. Intel Corporation, Chandler, AZ, USA
Funder
Intel Corporation under the 2022 Intel SRS Grant titled as “API-S: Accelerated system-level transient Power Integrity Solvers.”
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Electronic, Optical and Magnetic Materials
Link
http://xplorestaging.ieee.org/ielx7/5503870/10288291/10173621.pdf?arnumber=10173621
Reference19 articles.
1. Toward Fully Automated High-Dimensional Parameterized Macromodeling
2. Enforcing Passivity of Parameterized LTI Macromodels via Hamiltonian-Driven Multivariate Adaptive Sampling
3. Compressed Passive Macromodeling
4. Data-Driven Extraction of Uniformly Stable and Passive Parameterized Macromodels
5. Guaranteed Passive Parameterized Macromodeling by Using Sylvester State-Space Realizations
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1. Fast Prediction of Worst-Case Voltage Droops in Power Distribution Networks;2024 IEEE 28th Workshop on Signal and Power Integrity (SPI);2024-05-12
2. Structured Model Order Reduction of System-Level Power Delivery Networks;IEEE Access;2024
3. Optimization of Decoupling Capacitors in Power Delivery Networks Using Machine Learning Algorithms;2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN);2023-12-22
4. A Two-Level Waveform Relaxation Approach for System-Level Power Delivery Verification;2023 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS);2023-12-12
5. Balancing-Based Model Reduction for Fast Power Integrity Verification;2023 IEEE 32nd Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS);2023-10-15
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