Massively parallel Wang-Landau sampling on multiple GPUs

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• 作者：Junqi Yin^a ; ^b ; ^{yinj@ornl.gov} ; D.P. Landau^a
• 关键词：Wang&ndash ; Landau sampling ; GPU computing ; Water clusters ; Phase transition
• 刊名：Computer Physics Communications
• 出版年：2012
• 期刊代码：30_00104655
• 类别：cp
• 出版时间：August, 2012
• 卷：183
• 期：8
• 页码：1568-1573
• 文件大小：639 K

摘要

Wang-Landau sampling is implemented on the Graphics Processing Unit (GPU) with the Compute Unified Device Architecture (CUDA). Performances on three different GPU 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.