GPU-based single-cluster algorithm for the simulation of the Ising model

DOI10.1016/j.jcp.2011.09.029zbMath1245.82012arXiv1110.0899OpenAlexW1975372231WikidataQ57679241 ScholiaQ57679241MaRDI QIDQ422940

Yukihiro Komura, Yutaka Okabe

Publication date: 18 May 2012

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1110.0899

zbMATH Keywords

cluster algorithmMonte Carlo simulationparallel computingIsing modelgraphics processing unit (GPU)

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Parallel numerical computation (65Y05) Lattice systems (Ising, dimer, Potts, etc.) and systems on graphs arising in equilibrium statistical mechanics (82B20) Numerical algorithms for specific classes of architectures (65Y10)

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Uses Software

• CUDA

Cites Work

• Monte Carlo estimation of transverse and longitudinal correlation functions in the \(O(4)\) model
• Multi-GPU accelerated multi-spin Monte Carlo simulations of the 2D Ising model
• Parallel graph component labelling with GPUs and CUDA
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• GPU-accelerated molecular dynamics simulation for study of liquid crystalline flows
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• A Guide to Monte Carlo Simulations in Statistical Physics
• Crystal Statistics. I. A Two-Dimensional Model with an Order-Disorder Transition
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