Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs
Institute of Information and Mathematical Sciences, Massey University � Albany, North Shore 102-904, Auckland, New Zealand
International Journal of Parallel Programming (3 July 2010)
@article{hawickregular,
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},
pages={1–19},
issn={0885-7458},
publisher={Springer}
}
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
November 20, 2010 by hgpu
