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European Conference on Parallel Processing

Euro-Par 2011: Euro-Par 2011: Parallel Processing Workshops pp 355–364Cite as

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Performance Evaluation of a Multi-GPU Enabled Finite Element Method for Computational Electromagnetics

Performance Evaluation of a Multi-GPU Enabled Finite Element Method for Computational Electromagnetics

  • Tristan Cabel30,
  • Joseph Charles30 &
  • Stéphane Lanteri30 
  • Conference paper
  • 1081 Accesses

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7156)

Abstract

We study the performance of a multi-GPU enabled numerical methodology for the simulation of electromagnetic wave propagation in complex domains and heterogeneous media. For this purpose, the system of time-domain Maxwell equations is discretized by a discontinuous finite element method which is formulated on an unstructured tetrahedral mesh and which relies on a high order interpolation of the electromagnetic field components within a mesh element. The resulting numerical methodology is adapted to parallel computing on a cluster of GPU acceleration cards by adopting a hybrid strategy which combines a coarse grain SPMD programming model for inter-GPU parallelization and a fine grain SIMD programming model for intra-GPU parallelization. The performance improvement resulting from this multiple-GPU algorithmic adaptation is demonstrated through three-dimensional simulations of the propagation of an electromagnetic wave in the head of a mobile phone user.

Keywords

  • Shared Memory
  • Discontinuous Galerkin
  • Mobile Phone User
  • Electromagnetic Wave Propagation
  • Numerical Methodology

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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  6. Cabel, T., Charles, J., Lanteri, S.: Multi-GPU acceleration of a DGTD method for modeling human exposure to electromagnetic waves. Tech. rep., INRIA Research eport RR-7592 (2011), http://hal.inria.fr/inria-00583617

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Author information

Authors and Affiliations

  1. NACHOS project-team, INRIA Sophia Antipolis-Méditerranée Research Center, 06902, Sophia Antipolis Cedex, France

    Tristan Cabel, Joseph Charles & Stéphane Lanteri

Authors
  1. Tristan Cabel
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  2. Joseph Charles
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  3. Stéphane Lanteri
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Editor information

Editors and Affiliations

  1. Scilytics, Koellnerhofgasse 3/15A, 1010, Vienna, Austria

    Michael Alexander

  2. ICAR-CNR, Via P. Castellino, 111, 80131, Napoli, Italy

    Pasqua D’Ambra

  3. University of Amsterdam, 1090, Amsterdam, Netherlands

    Adam Belloum

  4. Innovative Computing Laboratory, The University of Tennessee, US

    George Bosilca

  5. Department of Experimental Medicine and Clinic, University Magna Græcia, 88100, Catanzaro, Italy

    Mario Cannataro

  6. Computer Science Department, University of Pisa, Italy

    Marco Danelutto

  7. Second University of Naples, Italy

    Beniamino Di Martino

  8. TUMünchen,, Boltzmannstr. 3, ,, 85748, Garching, Germany

    Michael Gerndt

  9. Equipe Runtime, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Emmanuel Jeannot & Raymond Namyst & 

  10. Equipe HIEPACS, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Jean Roman

  11. Computer Science and Mathematics Division, Oak Ridge National Laboratory, 37831-6164, Oak Ridge, TN, USA

    Stephen L. Scott

  12. Department of Scientific Computing, University of Vienna, Nordbergstr. 15/3C, 1090, Vienna, Austria

    Jesper Larsson Traff

  13. Computer Science and Mathematics Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA

    Geoffroy Vallée

  14. Technische Universität München, Germany

    Josef Weidendorfer

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Cabel, T., Charles, J., Lanteri, S. (2012). Performance Evaluation of a Multi-GPU Enabled Finite Element Method for Computational Electromagnetics. In: Alexander, M., et al. Euro-Par 2011: Parallel Processing Workshops. Euro-Par 2011. Lecture Notes in Computer Science, vol 7156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29740-3_40

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  • DOI: https://doi.org/10.1007/978-3-642-29740-3_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29739-7

  • Online ISBN: 978-3-642-29740-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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