Random Tilings with the GPU
arXiv:1804.07250 · doi:10.1063/1.5038732
Abstract
We present GPU accelerated implementations of Markov chain algorithms to sample random tilings, dimers, and the six-vertex model.
References in corpus (8)
- Mixing times of lozenge tiling and card shuffling Markov chains
- Stochastic six-vertex model
- Directed-loop Monte Carlo simulations of vertex models
- The arctic curve of the domain-wall six-vertex model in its anti-ferroelectric regime
- The density profile of the six vertex model with domain wall boundary conditions
- Perfect sampling algorithm for Schur processes
- The 6-vertex model with fixed boundary conditions
- Lozenge tilings, Glauber dynamics and macroscopic shape
Cited by in corpus (4)
- Slow Mixing of Glauber Dynamics for the Six-Vertex Model in the Ordered Phases
- Local correlation functions of the two-periodic weighted Aztec diamond in mesoscopic limit
- Arctic curves of the V model with partial DWBC and double Aztec rectangles
- Finite-size scaling of free energy in the dimer model on a hexagonal domain