Simulating spin models on GPU

Details Simulating spin models on GPU Simulating spin models on GPU

2010-06-19

arxiv.org/abs/1006.3865v2

Comput.Phys.Commun.182:1833,2011

Physics

Condensed Matter

Statistical Mechanics

5 pages, 4 figures, elsarticle

Scientific paper

10.1016/j.cpc.2010.10.031

Over the last couple of years it has been realized that the vast computational power of graphics processing units (GPUs) could be harvested for purposes other than the video game industry. This power, which at least nominally exceeds that of current CPUs by large factors, results from the relative simplicity of the GPU architectures as compared to CPUs, combined with a large number of parallel processing units on a single chip. To benefit from this setup for general computing purposes, the problems at hand need to be prepared in a way to profit from the inherent parallelism and hierarchical structure of memory accesses. In this contribution I discuss the performance potential for simulating spin models, such as the Ising model, on GPU as compared to conventional simulations on CPU.

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