Abstract

In this paper, we describe an accelerated implementa- tion of the Method of Moments (MoM). A framework is proposed, exploiting the graphics processing unit (GPU) computing power by means of the software platform compute unified device archi- tecture (CUDA). The mixed-potential integral-equation formula- tion, applied to microstrip circuit modeling, is adopted, and both the impedance matrix computation and the linear system solution of the MoM are accelerated. The latter point has been handled by considering both a direct dense (LU-based) and an iterative sparse (bi-conjugate gradient stabilized) solver. The best suited method is selected automatically during a thresholding phase, which renders the impedance matrix as sparse as possible. The effectiveness of the GPU-enabled MoM has been extensively tested in the analysis of planar circuits and components. The results achieved confirm the validity, accuracy, and high performance of the proposed ap- proach.

Autore Pugliese

• Monti Giuseppina , Tarricone Luciano

Tutti gli autori

• D. De Donno , A. Esposito , G. Monti , L. Tarricone

Titolo volume/Rivista

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES

Anno di pubblicazione

2012

ISSN

0018-9480

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

10

Ultimo Aggiornamento Citazioni

28/04/2018

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile