A Compressed Multivariate Macromodeling Framework for Fast Transient Verification of System-Level Power Delivery Networks

Author:

Carlucci Antonio1ORCID,Bradde Tommaso1ORCID,Grivet-Talocia Stefano1ORCID,Mongrain Scott2,Kulasekaran Sid2,Radhakrishnan Kaladhar2ORCID

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

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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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