Journal of Computational Physics
Journal of Computational Physics
Journal of Parallel and Distributed Computing
Flux difference splitting and the balancing of source terms and flux gradients
Journal of Computational Physics
Journal of Computational Physics
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
Sourcebook of parallel computing
Sourcebook of parallel computing
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
Iterative solution of elliptic collocation systems on a cognitive parallel computer
Computers & Mathematics with Applications
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We construct a parallel algorithm, suitable for distributed memory architectures, of an explicit shock-capturing finite volume method for solving the two-dimensional shallow water equations. The finite volume method is based on the very popular approximate Riemann solver of Roe and is extended to second order spatial accuracy by an appropriate TVD technique. The parallel code is applied to distributed memory architectures using domain decomposition techniques and we investigate its performance on a grid computer and on a Distributed Shared Memory supercomputer. The effectiveness of the parallel algorithm is considered for specific benchmark test cases. The performance of the realization measured in terms of execution time and speedup factors reveals the efficiency of the implementation.