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Massively parallel Wang-Landau sampling on multiple GPUs
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DOI：10.1016/j.cpc.2012.02.023.png)
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Wang-Landau sampling is implemented on the Graphics Processing Unit (CPU) with the Compute Unified Device Architecture (CUDA). Performances on three different CPU cards, including the new generation Fermi architecture card, are compared with that on a Central Processing Unit (CPU). The parameters for massively parallel Wang-Landau sampling are tuned in order to achieve fast convergence. For simulations of the water cluster systems, we obtain an average of over 50 times speedup for a given workload. (C) 2012 Elsevier B.V. All rights reserved.
Keyword:
Wang-Landau sampling
CPU computing
Water clusters
Phase transition
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3.4
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1.2W
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3.7W
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