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Comparison of Different Parallel Implementaions of the 2+1-Dimensional KPZ Model and the 3-Dimensional KMC Model

Jeffrey Kelling, Odor Geza, Mate Nagy Ferenc, Henrik Schulz, Karl-Heinz Heinig
Helmholtz-Zentrum Dresden-Rossendorf, Institute of Ion Beam Physics and Materials Research, P.O.Box 51 01 19, 01314 Dresden, Germany
arXiv:1204.5072v1 [cs.DC] (23 Apr 2012)

@article{2012arXiv1204.5072K,

   author={Kelling}, J. and {G{‘e}za}, {‘O}. and {Nagy Ferenc}, M. and {Schulz}, H. and {Heinig}, K.-H.},

   title={"{Comparison of Different Parallel Implementaions of the 2+1-Dimensional KPZ Model and the 3-Dimensional KMC Model}"},

   journal={ArXiv e-prints},

   archivePrefix={"arXiv"},

   eprint={1204.5072},

   primaryClass={"cs.DC"},

   keywords={Computer Science – Distributed, Parallel, and Cluster Computing, Condensed Matter – Materials Science, Condensed Matter – Statistical Mechanics},

   year={2012},

   month={apr},

   adsurl={http://adsabs.harvard.edu/abs/2012arXiv1204.5072K},

   adsnote={Provided by the SAO/NASA Astrophysics Data System}

}

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We show that efficient simulations of the Kardar-Parisi-Zhang interface growth in 2 + 1 dimensions and of the 3-dimensional Kinetic Monte Carlo of thermally activated diffusion can be realized both on GPUs and modern CPUs. In this article we present results of different implementations on GPUs using CUDA and OpenCL and also on CPUs using OpenCL and MPI. We investigate the runtime and scaling behavior on different architectures to find optimal solutions for solving current simulation problems in the field of statistical physics and materials science.
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