Parallelizing a Hybrid Finite Element Boundary Integral Method for the Analysis of Scattering and Radiation of Electromagnetic Waves

Durán Díaz, José Raúl; Rico, Rafael; García Castillo, Luis Emilio; Gómez Revuelto, Ignacio; Acebrón, Juan A. y Martínez Fernández, I. (2010). Parallelizing a Hybrid Finite Element Boundary Integral Method for the Analysis of Scattering and Radiation of Electromagnetic Waves. "Finite Elements in Analysis and Design", v. 46 (n. 8); pp. 645-657. ISSN 0168-874X. https://doi.org/10.1016/j.finel.2010.03.004.

Descripción

Título: Parallelizing a Hybrid Finite Element Boundary Integral Method for the Analysis of Scattering and Radiation of Electromagnetic Waves
Autor/es:
  • Durán Díaz, José Raúl
  • Rico, Rafael
  • García Castillo, Luis Emilio
  • Gómez Revuelto, Ignacio
  • Acebrón, Juan A.
  • Martínez Fernández, I.
Tipo de Documento: Artículo
Título de Revista/Publicación: Finite Elements in Analysis and Design
Fecha: Enero 2010
Volumen: 46
Materias:
Palabras Clave Informales: Electromagnetics; Finite element method; Boundary integral; Parallel computing; MPI; Sparse direct solvers.
Escuela: E.U.I.T. Telecomunicación (UPM) [antigua denominación]
Departamento: Ingeniería Audiovisual y Comunicaciones [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

This paper presents the practical experience of parallelizing a simulator of general scattering and radiation electromagnetic problems. The simulator stems from an existing sequential simulator in the frequency domain, which is based on a finite element analysis. After the analysis of a test case, two steps were carried out: first, a “hand-crafted” code parallelization of a convolution-type operation was developed within the kernel of the simulator. Second, the sequential HSL library, used in the existing simulator, was replaced by the parallel MUMPS (MUltifrontal Massively Parallel sparse direct Solver) library in order to solve the associated linear algebra problem in parallel. Such a library allows for the distribution of the factorized matrix and some of the computational load among the available processors. A test problem and three realistic (in terms of the number of unknowns) cases have been run using the parallelized version of the code, and the results are presented and discussed focusing on the memory usage and achieved speed-up.

Más información

ID de Registro: 8577
Identificador DC: http://oa.upm.es/8577/
Identificador OAI: oai:oa.upm.es:8577
Identificador DOI: 10.1016/j.finel.2010.03.004
URL Oficial: http://www.sciencedirect.com/science/article/pii/S0168874X10000442
Depositado por: Memoria Investigacion
Depositado el: 31 Ago 2011 11:16
Ultima Modificación: 20 Abr 2016 17:18
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