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Parallelization of Simulations for Various Magnetic System Models on Small-Sized Cluster Computers with MPI

  • Frank Schurz
  • Dietmar Fey
  • Dmitri Berkov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3984)

Abstract

The topic of parallelization of physical simulations has become an important part of scientific work today. However, except for the simple Ising spin model, simulations of various magnetic systems, e.g. the Heisenberg model, on small to moderate size cluster computers were not in strong focus within the field of Computational Physics. The work presented in this paper is a contribution to fill exactly this gap. The feasibility and the benefits of distributing such simulations among several processes are demonstrated by means of simulations of three physical models in this context: a 2-dimensional Ising model, the Heisenberg model, and a magneto-dipolar glass model. Herein we present these models and the applied parallelizational techniques. In the following, we show that with our parallelization scheme an almost ideal speed-up can be achieved on cluster computers by using MPI.

Keywords

Ising Model Cluster Computer Heisenberg Model Metropolis Algorithm Parallelization Scheme 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Frank Schurz
    • 1
  • Dietmar Fey
    • 1
  • Dmitri Berkov
    • 2
  1. 1.Institute of Computer ScienceFriedrich-Schiller-University JenaJenaGermany
  2. 2.INNOVENT Technologieentwicklung JenaJenaGermany

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