GMRES: a generalized minimal residual algorithm for solving nonsymmetric linear systems
SIAM Journal on Scientific and Statistical Computing
Local area networks
Extraction of circuit models for substrate cross-talk
ICCAD '95 Proceedings of the 1995 IEEE/ACM international conference on Computer-aided design
DAC '98 Proceedings of the 35th annual Design Automation Conference
Multi-level minimal residual smoothing: a family of general purpose mutigrid acceleration techniques
Journal of Computational and Applied Mathematics
Fast methods for extraction and sparsification of substrate coupling
Proceedings of the 37th Annual Design Automation Conference
A multigrid tutorial: second edition
A multigrid tutorial: second edition
Efficient techniques for accurate modeling and simulation of substrate coupling in mixed-signal IC's
Proceedings of the conference on Design, automation and test in Europe
Simulation approaches for strongly coupled interconnect systems
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
Fast Computation of Substrate Resistances in Large Circuits
EDTC '96 Proceedings of the 1996 European conference on Design and Test
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
Proceedings of the 41st annual Design Automation Conference
SuPREME: Substrate and Power-delivery Reluctance-Enhanced Macromodel Evaluation
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
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Substrate noise in integrated circuits is one of the most important problems in high-frequency mixed-signal designs, such as communication, biomedical and analog signal processing circuits and systems. Fast-switching digital blocks inject noise into the common substrate, hindering the performance of high-precision sensible analog circuitry. Miniaturization trends require increasing the accuracy in substrate coupling simulation environments. However, model extraction and evaluation times should not increase, which demands for fast and still accurate substrate model extraction tools. In this work, a three-dimensional finite difference extraction methodology is presented. The resulting three-dimensional mesh is efficiently reduced to a circuit-level contact-based model by means of a fast multigrid-based algorithm. Moreover, this contact-based model extraction is shown to be efficiently computed in a parallel environment, resulting in extremely useful extraction speedups. Extraction results prove the proposed method to be very efficient, providing linear time and space complexity, and a constant number of iterations, outperforming competing algorithms.