Paper Info
Title
An MPI-CUDA implementation of an improved Roe method for two-layer shallow water systems
Abstract
The numerical solution of two-layer shallow water systems is required to simulate accurately stratified fluids, which are ubiquitous in nature: they appear in atmospheric flows, ocean currents, oil spills, etc. Moreover, the implementation of the numerical schemes to solve these models in realistic scenarios imposes huge demands of computing power. In this paper, we tackle the acceleration of these simulations in triangular meshes by exploiting the combined power of several CUDA-enabled GPUs in a GPU cluster. For that purpose, an improvement of a path conservative Roe-type finite volume scheme which is specially suitable for GPU implementation is presented, and a distributed implementation of this scheme which uses CUDA and MPI to exploit the potential of a GPU cluster is developed. This implementation overlaps MPI communication with CPU-GPU memory transfers and GPU computation to increase efficiency. Several numerical experiments, performed on a cluster of modern CUDA-enabled GPUs, show the efficiency of the distributed solver.
Year
DOI
Venue
2012
10.1016/j.jpdc.2011.07.012
J. Parallel Distrib. Comput.
Keywords
Field
DocType
gpu implementation,modern cuda-enabled gpus,gpu cluster,cuda-enabled gpus,mpi-cuda implementation,gpu computation,numerical experiment,improved roe method,numerical scheme,mpi communication,numerical solution,two-layer shallow water system,combined power,mpi
Polygon mesh,GPU cluster,Computer science,CUDA,Parallel computing,Computational science,Acceleration,Solver,Numerical analysis,Finite volume method,Computation
Journal
Volume
Issue
ISSN
72
9
0743-7315
Citations 
PageRank 
References 
11
0.76
18
Authors
4
Name
Order
Citations
PageRank
Marc De La AsuncióN1323.29
José M. Mantas2464.18
Manuel J. Castro320221.36
E. D. FernáNdez-Nieto4617.52