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International Journal of Antennas and Propagation
Volume 2014, Article ID 721580, 13 pages
Research Article

Application of the Characteristic Basis Function Method Using CUDA

1Automatics Department, University of Alcala, 28871 Alcalá de Henares, Spain
2Computer Science Department, University of Alcala, 28871 Alcalá de Henares, Spain

Received 24 September 2013; Accepted 9 February 2014; Published 3 April 2014

Academic Editor: Ahmed A. Kishk

Copyright © 2014 Juan Ignacio Pérez et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The characteristic basis function method (CBFM) is a popular technique for efficiently solving the method of moments (MoM) matrix equations. In this work, we address the adaptation of this method to a relatively new computing infrastructure provided by NVIDIA, the Compute Unified Device Architecture (CUDA), and take into account some of the limitations which appear when the geometry under analysis becomes too big to fit into the Graphics Processing Unit’s (GPU’s) memory.