Parallel Model Order Reduction for Sparse Electromagnetic/Circuit Models

被引：0

作者：

De Luca, Giovanni ^{[1
]}

Antonini, Giulio ^{[1
]}

Benner, Peter ^{[2
]}

机构：

[1] Univ Aquila, Dipartimento Ingn Ind & Informaz Econ, I-67100 Laquila, Italy

[2] Max Planck Inst Dynam Complex Tech Syst, Computat Methods Syst & Control Theory, Magdeburg, Germany

来源：

APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL | 2015年 / 30卷 / 01期

关键词：

Model order reduction; parallel computing; sparse electromagnetic/circuit systems; CIRCUIT MODELS; INTERCONNECT; SYSTEMS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper describes a parallel Model Order Reduction (MOR) technique for Linear Time Invariant (LTI) electromagnetic/circuit systems with sparse structure. The multi-point Krylov-subspace projection method is adopted as framework for the model order reduction and a parallelization strategy is proposed. More specifically, a multi-point version of the well-known PRIMA algorithm is proposed, which is parallelized with respect to the computation of the error between the original model and the reduced one. The number of moments to be matched for any expansion point is chosen adaptively as well. The numerical results show that the proposed parallelized MOR algorithm is able to preserve the accuracy of the reduced models while providing a significant compression and a satisfactory speedup with respect to the sequential one.

引用

页码：1 / 21

页数：21

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