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arXiv · 1705.01022

Suppressing correlations in massively parallel simulations of lattice models

Jeffrey Kelling·Géza Ódor·Sibylle Gemming
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Abstract

For lattice Monte Carlo simulations parallelization is crucial to make studies of large systems and long simulation time feasible, while sequential simulations remain the gold-standard for correlation-free dynamics. Here, various domain decomposition schemes are compared, concluding with one which delivers virtually correlation-free simulations on GPU Extensive simulations of the octahedron model for $2+1$ dimensional Karda--Parisi--Zhang surface growth, which is very sensitive to correlation in the site-selection dynamics, were performed to show self-consistency of the parallel runs and agreement with the sequential algorithm. We present a GPU implementation providing a speedup of about $30\times$ over a parallel CPU implementation on a single socket and at least $180\times$ with respect to the sequential reference.

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Jeffrey Kelling, Géza Ódor, Sibylle Gemming. 2017-05-02. Suppressing correlations in massively parallel simulations of lattice models. https://doi.org/10.1016/j.cpc.2017.07.010

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