Development of a unified FDTD-FEM library for electromagnetic analysis with CPU and GPU computing

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Title: Development of a unified FDTD-FEM library for electromagnetic analysis with CPU and GPU computing
Authors: Francés, Jorge | Bleda, Sergio | Gallego, Sergi | Neipp, Cristian | Márquez, Andrés | Pascual, Inmaculada | Beléndez, Augusto
Research Group/s: Holografía y Procesado Óptico
Center, Department or Service: Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | Universidad de Alicante. Departamento de Óptica, Farmacología y Anatomía | Universidad de Alicante. Instituto Universitario de Física Aplicada a las Ciencias y las Tecnologías
Keywords: Electromagnetic analysis | Finite-difference time-domain | Finite element method | Electrostatic potential | Thin film filters | Graphics processing units | Optical wavelengths
Knowledge Area: Óptica | Física Aplicada
Date Created: Sep-2011
Issue Date: 1-Apr-2013
Publisher: Springer Science+Business Media
Citation: FRANCÉS, Jorge, et al. “Development of a unified FDTD-FEM library for electromagnetic analysis with CPU and GPU computing”. Journal of Supercomputing. Vol. 64, No. 1 (Apr. 2013). ISSN 0920-8542, pp. 28-37
Abstract: The present paper describes an optimized C++ library for the study of electromagnetics. The implementation is based on the Finite-Difference Time-Domain method for transient analysis, and the Finite Element Method for electrostatics. Both methods share the same core and are optimized for CPU and GPU computing. To illustrate its running, FEM method is applied for solving Laplace’s equation analyzing the relation between surface curvature and electrostatic potential of a long cylindrical conductor, whereas FDTD is applied for analyzing Thin Film Filters at optical wavelengths. Furthermore, a comparison of the performance of both CPU and GPU versions is analyzed as a function of the grid size simulation. This approach allows the study of a wide range of electromagnetic problems taking advantage of the benefits of each numerical method and the computing power of the modern CPUs and GPUs.
Sponsor: This work was supported by the “Ministerio de Economía y Competitividad” of Spain under projects FIS2011-29803-C02-01, FIS2011-29803-C02-02 and by the “Generalitat Valenciana” of Spain under projects PROMETEO/2011/021 and ISIC/2012/013.
ISSN: 0920-8542 (Print) | 1573-0484 (Online)
DOI: 10.1007/s11227-012-0803-9
Language: eng
Type: info:eu-repo/semantics/article
Rights: The original publication is available at
Peer Review: si
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