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

Durán Díaz, José Raúl and Rico, Rafael and García Castillo, Luis Emilio and Gómez Revuelto, Ignacio and Acebrón, Juan A. and 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.

Description

Title: Parallelizing a Hybrid Finite Element Boundary Integral Method for the Analysis of Scattering and Radiation of Electromagnetic Waves
Author/s:
  • Durán Díaz, José Raúl
  • Rico, Rafael
  • García Castillo, Luis Emilio
  • Gómez Revuelto, Ignacio
  • Acebrón, Juan A.
  • Martínez Fernández, I.
Item Type: Article
Título de Revista/Publicación: Finite Elements in Analysis and Design
Date: January 2010
ISSN: 0168-874X
Volume: 46
Subjects:
Freetext Keywords: Electromagnetics; Finite element method; Boundary integral; Parallel computing; MPI; Sparse direct solvers.
Faculty: E.U.I.T. Telecomunicación (UPM)
Department: Ingeniería Audiovisual y Comunicaciones [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 8577
DC Identifier: http://oa.upm.es/8577/
OAI Identifier: oai:oa.upm.es:8577
DOI: 10.1016/j.finel.2010.03.004
Official URL: http://www.sciencedirect.com/science/article/pii/S0168874X10000442
Deposited by: Memoria Investigacion
Deposited on: 31 Aug 2011 11:16
Last Modified: 20 Apr 2016 17:18
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