Efficient strategy for the parallelisation of the multilevel fast multipole algorithm using CUDA
Authors
García García, Eliseo; Delgado Hita, Carlos; Lozano Plata, Lorena; Cátedra Pérez, Manuel FelipeIdentifiers
Permanent link (URI): http://hdl.handle.net/10017/60356DOI: 10.1049/iet-map.2018.5568
ISSN: 1751-8725
Publisher
IET
Date
2019-08-14Affiliation
Universidad de Alcalá. Departamento de Automática; Universidad de Alcalá. Departamento de Ciencias de la ComputaciónFunders
Ministerio de Economía y Competitividad
Bibliographic citation
García, E., Delgado, C., Lozano, L. and Cátedra, F. (2019), Efficient strategy for parallelisation of multilevel fast multipole algorithm using CUDA. IET Microw. Antennas Propag., 13: 1554-1563.
Project
info:eu-repo/grantAgreement/MINECO//TEC2013-46587-R/ES/MODELADO DE CANAL PARA APLICACIONES AERONAUTICAS Y EN TRAFICO URBANO/
info:eu-repo/grantAgreement/MINECO//PTQ-12-05099/ES/PTQ-12-05099/
info:eu-repo/grantAgreement/MINECO//PTQ-14-07060/ES/PTQ-14-07060/
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/publishedVersion
Publisher's version
https://doi.org/10.1049/iet-map.2018.5568Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
© 2019 The Institution of Engineering and Technology
Access rights
info:eu-repo/semantics/openAccess
Abstract
The multilevel fast multipole algorithm is a popular technique that enables the efficient solution of the method of moments (MoM) matrix equations. In this work, the authors address the adaptation of this method to the compute unified device architecture (CUDA), a relatively new computing infrastructure provided by NVIDIA, and the authors take into account some of the limitations that appear when the geometry under analysis becomes too large to fit into the memory of graphics processing units.
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