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Simulating Spin Models On Gpu: A Tour

Author

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  • MARTIN WEIGEL

    (Institut für Physik, Johannes Gutenberg-Universität Mainz, D-55099 Mainz, Germany;
    Applied Mathematics Research Centre, Coventry University, Coventry, CV1 5FB, England)

Abstract

The use of graphics processing units (GPUs) in scientific computing has gathered considerable momentum in the past five years. While GPUs in general promise high performance and excellent performance per Watt ratios, not every class of problems is equally well suitable for exploiting the massively parallel architecture they provide. Lattice spin models appear to be prototypic examples of problems suitable for this architecture, at least as long as local update algorithms are employed. In this review, I summarize our recent experience with the simulation of a wide range of spin models on GPU employing an equally wide range of update algorithms, ranging from Metropolis and heat bath updates, over cluster algorithms to generalized ensemble simulations.

Suggested Citation

  • Martin Weigel, 2012. "Simulating Spin Models On Gpu: A Tour," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 23(08), pages 1-11.
    • Handle: RePEc:wsi:ijmpcx:v:23:y:2012:i:08:n:s0129183112400025
    DOI: 10.1142/S0129183112400025
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