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Manuscript Title: CUDA programs for GPU computing of Swendsen-Wang multi-cluster spin flip algorithm: 2D and 3D Ising, Potts, and XY models
Authors: Yukihiro Komura, Yutaka Okabe
Program title: SWspin
Catalogue identifier: AERM_v1_0
Distribution format: tar.gz
Journal reference: Comput. Phys. Commun. 185(2014)1038
Programming language: C, CUDA.
Computer: System with an NVIDIA CUDA enabled GPU.
Operating system: System with an NVIDIA CUDA enabled GPU.
Keywords: Monte Carlo simulation, Cluster algorithm, Ising model, XY model, Parallel computing, GPU.
Classification: 23.

External routines: NVIDIA CUDA Toolkit 3.0 or newer

Nature of problem:
Monte Carlo simulation of classical spin systems. Ising, q-state Potts model, and the classical XY model are treated for both two-dimensional and three-dimensional lattices.

Solution method:
GPU-based Swendsen-Wang multi-cluster spin flip Monte Carlo method. The CUDA implementation for the cluster-labeling is based on the work by Hawick et al. [1] and that by Kalentev et al [2].

Restrictions:
The system size is limited depending on the memory of a GPU.

Running time:
For the parameters used in the sample programs, it takes about a minute for each program. Of course, it depends on the system size, the number of Monte Carlo steps, etc.

References:
[1] K.A. Hawick, A. Leist, and D. P. Playne, Parallel Computing 36 (2010) 655-678
[2] O. Kalentev, A. Rai, S. Kemnitzb, and R. Schneider, J. Parallel Distrib. Comput. 71 (2011) 615-620