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GPU-based single-cluster algorithm for the simulation of the Ising model
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DOI：10.1016/j.jcp.2011.09.029.png)
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We present the GPU calculation with the common unified device architecture (CUDA) for the Wolff single-cluster algorithm of the Ising model. Proposing an algorithm for a quasi-block synchronization, we realize the Wolff single-cluster Monte Carlo simulation with CUDA. We perform parallel computations for the newly added spins in the growing cluster. As a result, the GPU calculation speed for the two-dimensional Ising model at the critical temperature with the linear size L = 4096 is 5.60 times as fast as the calculation speed on a current GPU core. For the three-dimensional Ising model with the linear size L = 256, the GPU calculation speed is 7.90 times as fast as the GPU calculation speed. The idea of quasi-block synchronization can be used not only in the cluster algorithm but also in many fields where the synchronization of all threads is required. (C) 2011 Elsevier Inc. All rights reserved.
Keyword:
Monte Carlo simulation
Cluster algorithm
Ising model
Parallel computing
GPU
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3.8
论文数:
1.6W
被引数:
7.4W
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Multi-GPU accelerated multi-spin Monte Carlo simulations of the 2D Ising model二维伊辛模型的多GPU加速多自旋蒙特卡罗模拟OAAI
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