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GPU-based single-cluster algorithm for the simulation of the Ising model | | Yukihiro Komura
; Yutaka Okabe
; | | Date: |
5 Oct 2011 | | Abstract: | 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 CPU 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 CPU 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. | | Source: | arXiv, 1110.0899 | | Services: | Forum | Review | PDF | Favorites | |
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