Application of the Characteristic Basis Function Method Using CUDA
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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2014/721580 |
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| _version_ | 1849473331333431296 |
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| author | Juan Ignacio Pérez Eliseo García José A. de Frutos Felipe Cátedra |
| author_facet | Juan Ignacio Pérez Eliseo García José A. de Frutos Felipe Cátedra |
| author_sort | Juan Ignacio Pérez |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-c896e1920da2493e950ea462d88bae95 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-c896e1920da2493e950ea462d88bae952025-08-20T03:24:11ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772014-01-01201410.1155/2014/721580721580Application of the Characteristic Basis Function Method Using CUDAJuan Ignacio Pérez0Eliseo García1José A. de Frutos2Felipe Cátedra3Automatics Department, University of Alcala, 28871 Alcalá de Henares, SpainAutomatics Department, University of Alcala, 28871 Alcalá de Henares, SpainAutomatics Department, University of Alcala, 28871 Alcalá de Henares, SpainComputer Science Department, University of Alcala, 28871 Alcalá de Henares, SpainThe 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.http://dx.doi.org/10.1155/2014/721580 |
| spellingShingle | Juan Ignacio Pérez Eliseo García José A. de Frutos Felipe Cátedra Application of the Characteristic Basis Function Method Using CUDA International Journal of Antennas and Propagation |
| title | Application of the Characteristic Basis Function Method Using CUDA |
| title_full | Application of the Characteristic Basis Function Method Using CUDA |
| title_fullStr | Application of the Characteristic Basis Function Method Using CUDA |
| title_full_unstemmed | Application of the Characteristic Basis Function Method Using CUDA |
| title_short | Application of the Characteristic Basis Function Method Using CUDA |
| title_sort | application of the characteristic basis function method using cuda |
| url | http://dx.doi.org/10.1155/2014/721580 |
| work_keys_str_mv | AT juanignacioperez applicationofthecharacteristicbasisfunctionmethodusingcuda AT eliseogarcia applicationofthecharacteristicbasisfunctionmethodusingcuda AT joseadefrutos applicationofthecharacteristicbasisfunctionmethodusingcuda AT felipecatedra applicationofthecharacteristicbasisfunctionmethodusingcuda |