Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2012-04-23
Computer Science
Distributed, Parallel, and Cluster Computing
14 pages, 8 figures, to be published in a forthcoming EPJST special issue on "Computer simulations on GPU"
Scientific paper
We show that efficient simulations of the Kardar-Parisi-Zhang interface growth in 2 + 1 dimensions and of the 3-dimensional Kinetic Monte Carlo of thermally activated diffusion can be realized both on GPUs and modern CPUs. In this article we present results of different implementations on GPUs using CUDA and OpenCL and also on CPUs using OpenCL and MPI. We investigate the runtime and scaling behavior on different architectures to find optimal solutions for solving current simulation problems in the field of statistical physics and materials science.
Heinig Karl-Heinz
Kelling Jeffrey
Nagy Máté Ferenc
Odor Geza
Schulz Henrik
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