Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs

K. Hawick, A. Leist, D. Playne
Institute of Information and Mathematical Sciences, Massey University � Albany, North Shore 102-904, Auckland, New Zealand
International Journal of Parallel Programming (3 July 2010)


   title={Regular Lattice and Small-World Spin Model Simulations using CUDA and GPUs},

   author={Hawick, KA and Leist, A. and Playne, DP},

   journal={International Journal of Parallel Programming},





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Data-parallel accelerator devices such as Graphical Processing Units (GPUs) are providing dramatic performance improvements over even multi-core CPUs for lattice-oriented applications in computational physics. Models such as the Ising and Potts models continue to play a role in investigating phase transitions on small-world and scale-free graph structures. These models are particularly well-suited to the performance gains possible using GPUs and relatively high-level device programming languages such as NVIDIA
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