Advertisement

Large-scale FE modelling in geomechanics: a case study in parallelization

  • Radim Blaheta
  • Ondøej Jakl
  • Jiří Starý
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1697)

Abstract

The paper develops the Displacement Decomposition technique used already in [1] for parallelization of the Preconditioned Conjugate Gradient method. This time, the solution of very large problems is tackled. We present our experience with (PVM-)parallel solution of a huge finite element model arising from geomechanical practice on usual hardware and describe various facets of the optimizing process, leading to a tenfold improvement of the solution time. Special effects of parallelizing I/O-constrained programs are also addressed.

Keywords

Preconditioned Conjugate Gradient Nite Element Master Process Parallel Solver Incomplete Factorization 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Blaheta, R., Jakl, O., Starý, J.: PVM-implementation of the PCG method with Displacement Decomposition. In: Bubak, M, Dongarra, J., Wasniewski, J. (eds.): Recent Advances in Parallel Virtual Machine and Message Passing Interface. Lecture Notes in Computer Science, Vol. 1332, Springer-Verlag, Berlin, (1997) 321–328Google Scholar
  2. 2.
    Blaheta, R. et al.: Iterative displacement decomposition solvers for HPC in geomechanics. Submitted to Large-Scale Scientific Computations, Sozopol, BulgariaGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Radim Blaheta
    • 1
  • Ondøej Jakl
    • 1
    • 2
  • Jiří Starý
    • 2
  1. 1.Institute of Geonics of the Czech Acad. Sci.Ostrava - PorubaCzech Republic
  2. 2.VŠB - Technical University OstravaOstrava - PorubaCzech Republic

Personalised recommendations