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We present the multiple GPU computing with the common unified devicearchitecture (CUDA) for the Swendsen-Wang multi-cluster algorithm oftwo-dimensional (2D) q-state Potts model. Extending our algorithm for singleGPU computing [Comp. Phys. Comm. 183 (2012) 1155], we realize the GPUcomputation of the Swendsen-Wang multi-cluster algorithm for multiple GPUs. Weimplement our code on the large-scale open science supercomputer TSUBAME 2.0,and test the performance and the scalability of the simulation of the 2D Pottsmodel. The performance on Tesla M2050 using 256 GPUs is obtained as 37.3 spinflips per a nano second for the q=2 Potts model (Ising model) at the criticaltemperature with the linear system size L=65536.

Multi-GPU-based Swendsen-Wang multi-cluster algorithm for the simulation of two-dimensional q-state Potts model