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Monte Carlo Simulations of the Ising Model on GPU

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Języki publikacji
EN
Abstrakty
EN
Monte Carlo simulations of two- and three-dimensional Ising model on graphic cards (GPU) are described. The standard Metropolis algorithm has been employed. In the framework of the implementation developed by us, simulations were up to 100 times faster than their sequential CPU analogons. It is possible to perform simulations for systems containing up to 109 spins on Tesla C2050 GPU. As a physical application, higher cumulants for the 3d Ising model have been calculated.
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Twórcy
  • Department for Mathematical Methods in Physics Faculty of Physics, University of Warsaw ul. Pasteura 5, 02-093 Warszawa, Poland
  • R.D.Labs, Sp. z o.o. ul. Ho˙za 43/49 m. 11, 00-681 Warszawa, Poland
Bibliografia
  • [1] nVidia, NVIDIA CUDA C Programming Guide by nVidia Corporation http://developer.download.nvidia.com/compute/-DevZone/docs/html/C/doc/CUDACProgramming Guide.pdf
  • [2] nVidia, CUDAC Best Practices Guide by nVidia Corporation http://developer.download.nvidia.com/compute/DevZone/docs/html/C/doc/CUDA C BestPractices Guide.pdf
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  • [5] F. Wende, Implementation of the 2D Ising Model using CUDA http://www.physik.uni-leipzig.de/bordag/GCC/Talks/Wende.pdf
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Typ dokumentu
Bibliografia
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