6533b86cfe1ef96bd12c8934
RESEARCH PRODUCT
SIMULATING SPIN MODELS ON GPU: A TOUR
Martin WeigelMartin Weigelsubject
Heat bathComputer scienceMonte Carlo methodGeneral Physics and AstronomyStatistical and Nonlinear PhysicsMassively parallel architectureRangingParallel computingComputer Science ApplicationsComputational Theory and MathematicsGeneral-purpose computing on graphics processing unitsGraphicsArchitectureMathematical PhysicsPerformance per wattdescription
The use of graphics processing units (GPUs) in scientific computing has gathered considerable momentum in the past five years. While GPUs in general promise high performance and excellent performance per Watt ratios, not every class of problems is equally well suitable for exploiting the massively parallel architecture they provide. Lattice spin models appear to be prototypic examples of problems suitable for this architecture, at least as long as local update algorithms are employed. In this review, I summarize our recent experience with the simulation of a wide range of spin models on GPU employing an equally wide range of update algorithms, ranging from Metropolis and heat bath updates, over cluster algorithms to generalized ensemble simulations.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-08-01 | International Journal of Modern Physics C |