6533b826fe1ef96bd1285113
RESEARCH PRODUCT
Simulating spin models on GPU
Martin Weigelsubject
Statistical Mechanics (cond-mat.stat-mech)Computer scienceHigh Energy Physics - Lattice (hep-lat)Monte Carlo methodFOS: Physical sciencesGeneral Physics and AstronomyParallel computingComputational Physics (physics.comp-ph)Power (physics)CUDAHigh Energy Physics - LatticeParallel processing (DSP implementation)Hardware and ArchitectureParallelism (grammar)Ising modelGraphicsPhysics - Computational PhysicsVideo gameCondensed Matter - Statistical Mechanicsdescription
Over the last couple of years it has been realized that the vast computational power of graphics processing units (GPUs) could be harvested for purposes other than the video game industry. This power, which at least nominally exceeds that of current CPUs by large factors, results from the relative simplicity of the GPU architectures as compared to CPUs, combined with a large number of parallel processing units on a single chip. To benefit from this setup for general computing purposes, the problems at hand need to be prepared in a way to profit from the inherent parallelism and hierarchical structure of memory accesses. In this contribution I discuss the performance potential for simulating spin models, such as the Ising model, on GPU as compared to conventional simulations on CPU.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2010-06-19 | Computer Physics Communications |