GPU-based simulation of the long-range Potts model via parallel tempering
arXiv:1308.5426 · doi:10.1016/j.cpc.2014.03.022
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 behaviour of some thermodynamic properties, such as equilibrium energy and magnetization, critical temperatures as well as the separation between the first- and second-order regime. 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.
6 pages, 4 figures
References in corpus (9)
- The ALPS project release 1.3: open source software for strongly correlated systems
- The ALPS project release 2.0: Open source software for strongly correlated systems
- Performance potential for simulating spin models on GPU
- q-State Potts model metastability study using optimized GPU-based Monte Carlo algorithms
- Reexamination of the long-range Potts model: a multicanonical approach
- Massively parallelized replica-exchange simulations of polymers on GPUs
- Short-time dynamics in the 1D long-range Potts model
- Simulation of the two-dimensional Potts model using nonextensive statistics
- GPU-based simulation of the long-range Potts model via parallel tempering