Abstract
This paper describes several results of parallel and distributed computing using a production flow solver program. A coarse grained parallelization based on clustering of discretization grids, combined with partitioning of large grids, for load balancing is presented. An assessment is given of its performance on tightly-coupled distributed and distributedshared memory platforms using large-scale scientific problems. An experiment with this solver, adapted to a Wide Area Network environment, is also presented.
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Djomehri, M.J., Biswas, R., Van der Wijngaart, R.F., Yarrow, M. (2000). Parallel and Distributed Computational Fluid Dynamics: Experimental Results and Challenges. In: Valero, M., Prasanna, V.K., Vajapeyam, S. (eds) High Performance Computing — HiPC 2000. HiPC 2000. Lecture Notes in Computer Science, vol 1970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44467-X_17
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DOI: https://doi.org/10.1007/3-540-44467-X_17
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