GPU-based single-cluster algorithm for the simulation of the Ising model

Details GPU-based single-cluster algorithm for the simulation of the Ising model GPU-based single-cluster algorithm for the simulation of the Ising model

2011-10-05

arxiv.org/abs/1110.0899v2

J. Comp. Phys. 231 (2012) 1209

Physics

Computational Physics

Scientific paper

10.1016/j.jcp.2011.09.029

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.

Affiliated with

Also associated with

No associations

Rating

GPU-based single-cluster algorithm for the simulation of the Ising model does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with GPU-based single-cluster algorithm for the simulation of the Ising model, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and GPU-based single-cluster algorithm for the simulation of the Ising model will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-324663