| Summary: | Thesis (M.Sc.)--Memorial University of Newfoundland, 2011. Computational Science Bibliography: leaves 89-92. Computational fluid dynamics (CFD) is an area of fluid mechanics that involves using numerical methods to solve fluid systems. Most practical CFD problems involve solving a minimum of two nonlinear coupled partial differential equations, which is computationally expensive for practical fluid systems. The methods proposed in this thesis take advantage of the parallelism of the graphics processing unit (GPU) to increase the efficiency of two CFD techniques for general purpose fluid flow simulations. The improved techniques produce very good results for increased efficiency, while keeping the overall methods practical and able to run on readily available and inexpensive GPU hardware. We discuss the advantages and disadvantages of the techniques developed, along with how different techniques affect the results, applications of the developed methods, and possible extensions to the methods.
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