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Simulating and Benchmarking the Shallow-Water Fluid Dynamical Equations on Multiple Graphical Processing Units

D.P. Playne, K.A. Hawick, M.G.B. Johnson
Computer Science, Institute of Natural and Mathematical Sciences, Massey University, Albany North, Shore 102-904, Auckland, New Zealand
Twelfth Australasian Symposium on Parallel and Distributed Computing (AusPDC 2014), Australian Computer Society, Inc., 2014

@article{playne2014simulating,

   title={Simulating and Benchmarking the Shallow-Water Fluid Dynamical Equations on Multiple Graphical Processing Units},

   author={Playne, D.P. and Hawick, K.A. and Johnson, M.G.B.},

   year={2014}

}

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The shallow-water model equations provide a simple yet realistic benchmark problem in computational fluid dynamics (CFD) that can be implemented on a variety of computational platforms. Graphical Processing Units can be used to accelerate such problems either singly using a data parallel decompositional scheme or with multiple devices using a domain decompositional approach. We implement the SW equations on a range of modern GPUs with both parallel schemes and report on the typical performance. We compare integer optimised GPUs and very modern floating-point intensive GPU devices such as NVidia’s Kepler K20X, and also investigate different m-GPU communication methods for geometric decompositions. We give detailed performance results and a summary of the main parallelisation issues.
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