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Massively parallel simulations for disordered systems

Author

Listed:
  • Ravinder Kumar

    (Institut für Theoretische Physik, Universität Leipzig, IPF 231101
    Centre for Fluid and Complex Systems, Coventry University)

  • Jonathan Gross

    (Institut für Theoretische Physik, Universität Leipzig, IPF 231101)

  • Wolfhard Janke

    (Institut für Theoretische Physik, Universität Leipzig, IPF 231101)

  • Martin Weigel

    (Centre for Fluid and Complex Systems, Coventry University)

Abstract

Simulations of systems with quenched disorder are extremely demanding, suffering from the combined effect of slow relaxation and the need of performing the disorder average. As a consequence, new algorithms and improved implementations in combination with alternative and even purpose-built hardware are often instrumental for conducting meaningful studies of such systems. The ensuing demands regarding hardware availability and code complexity are substantial and sometimes prohibitive. We demonstrate how with a moderate coding effort leaving the overall structure of the simulation code unaltered as compared to a CPU implementation, very significant speed-ups can be achieved from a parallel code on GPU by mainly exploiting the trivial parallelism of the disorder samples and the near-trivial parallelism of the parallel tempering replicas. A combination of this massively parallel implementation with a careful choice of the temperature protocol for parallel tempering as well as efficient cluster updates allows us to equilibrate comparatively large systems with moderate computational resources. Graphical abstract

Suggested Citation

  • Ravinder Kumar & Jonathan Gross & Wolfhard Janke & Martin Weigel, 2020. "Massively parallel simulations for disordered systems," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 93(5), pages 1-13, May.
    • Handle: RePEc:spr:eurphb:v:93:y:2020:i:5:d:10.1140_epjb_e2020-100535-0
    DOI: 10.1140/epjb/e2020-100535-0
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