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Parallel Displacement Decomposition Solvers for Elasticity Problems

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Parallel Processing and Applied Mathematics (PPAM 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2328))

Abstract

This article describes the displacement decomposition and its benefits for the parallelization of the preconditioned conjugate gradient method for finite element elasticity problems. It deals with both the fixed and variable preconditioning based on this decomposition. Numerical efficiency of the parallel algorithms is demonstrated on an academic benchmark and real-life modelling problem.

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References

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Author information

Authors and Affiliations

  1. VŠB - Technical University Ostrava, ul. 17. listopadu, 708 00, Ostrava-Poruba, Czech Republic

    Radim Blaheta, Ondřej Jakl & Jiří Starý

  2. Institute of Geonics, Czech Academy of Sciences, Studentská 1768, 708 00, Ostrava-Poruba, Czech Republic

    Radim Blaheta, Ondřej Jakl & Jiří Starý

Authors
  1. Radim Blaheta
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  2. Ondřej Jakl
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  3. Jiří Starý
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Editor information

Editors and Affiliations

  1. Institute of Mathematics and Computer Science, Technical University of Czestochowa, Dabrowskiego 73, 42-200, Czestochowa, Poland

    Roman Wyrzykowski

  2. Computer Science Department, University of Tennessee, 122 Volunteer Blvd, Knoxville, TN, 37996-3450, USA

    Jack Dongarra

  3. Computer Science Department, Oklahoma State University, 700 N. Greenwood Ave., Tulsa, OK, 74106, USA

    Marcin Paprzycki

  4. DTU, UNI-C, Danish Computing Centre for Research and Education, Bldg. 304, 2800, Lyngby, Denmark

    Jerzy Waśniewski

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© 2002 Springer-Verlag Berlin Heidelberg

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Blaheta, R., Jakl, O., Starý, J. (2002). Parallel Displacement Decomposition Solvers for Elasticity Problems. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2001. Lecture Notes in Computer Science, vol 2328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48086-2_44

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  • DOI: https://doi.org/10.1007/3-540-48086-2_44

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43792-5

  • Online ISBN: 978-3-540-48086-0

  • eBook Packages: Springer Book Archive

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