Proceedings of the 1996 IEEE/ACM international conference on Computer-aided design
ENOR: model order reduction of RLC circuits using nodal equations for efficient factorization
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
How to efficiently capture on-chip inductance effects: introducing a new circuit element K
Proceedings of the 2000 IEEE/ACM international conference on Computer-aided design
Robust and passive model order reduction for circuits containing susceptance elements
Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design
Window-Based Susceptance Models for Large-Scale RLC Circuit Analyses
Proceedings of the conference on Design, automation and test in Europe
SAPOR: second-order Arnoldi method for passive order reduction of RCS circuits
Proceedings of the 2004 IEEE/ACM International conference on Computer-aided design
PRIMA: passive reduced-order interconnect macromodeling algorithm
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Proceedings of the 2006 international symposium on Physical design
Structure preserving model-order reductions of MIMO second-order systems using Arnoldi methods
Mathematical and Computer Modelling: An International Journal
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Recently model order reduction techniques for second-order systems have obtained many research interests for the simulation of RCS interconnect circuits employing susceptance elements. In this paper, we propose a Block SAPOR (Block Second-order Arnoldi method for Passive Order Reduction) for Multi-Input Multi-Output RCS Circuits. The proposed Block SAPOR algorithm can simultaneously guarantee passivity and achieve higher accuracy than the first order reduction technique PRIMA. Most importantly, the reduced system matrices obtained by the proposed method can preserve the structure of the original system matrices. Such a nice property makes it possible to construct an equivalent RCS circuit for the reduced system.