GPU-based simulation of the long-range Potts model via parallel tempering
Abstract
We discuss the efficiency of parallelization on graphical processing units (GPUs) for the simulation of the one-dimensional Potts model with long-range interactions via parallel tempering. We investigate the behavior of some thermodynamic properties, such as equilibrium energy and magnetization, critical temperatures as well as the separation between the first- and second-order regimes. By implementing multispin coding techniques and an efficient parallelization of the interaction energy computation among threads, the GPU-accelerated approach reached speedup factors of up to 37.
- Publication:
-
Computer Physics Communications
- Pub Date:
- July 2014
- DOI:
- 10.1016/j.cpc.2014.03.022
- arXiv:
- arXiv:1308.5426
- Bibcode:
- 2014CoPhC.185.1932B
- Keywords:
-
- Potts model;
- Long-range interactions;
- Parallel tempering;
- GPU computing;
- CUDA;
- Condensed Matter - Statistical Mechanics;
- Physics - Computational Physics
- E-Print:
- 6 pages, 4 figures