Linear Solvers for Stable Fluids: GPU vs CPU

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dc.contributor.authorAmador, Gonçaloen_US
dc.contributor.authorGomes, Abelen_US
dc.contributor.editorCoelho, António and Cláudio, Ana Paulaen_US
dc.date.accessioned2021-06-18T07:37:54Z
dc.date.available2021-06-18T07:37:54Z
dc.date.issued2021
dc.description.abstractFluid simulation has been an active research field in computer graphics for the last 30 years. Stam's stable fluids method, among others, is used for solving equations that govern fluids. This method solves a sparse linear system during the diffusion and move steps, using either relaxation methods (Jacobi, Gauss-Seidel, etc ), Conjugate Gradient (and its variants), or others (not subject of study in this paper). A comparative pe,formance analysis between a parallel GPU-based (using CUDA) algorithm and a serial CPU-based algorithm, in both 2D and 3D, is given with the corresponding implementation of Jacobi (J), Gauss-Seidel (GS) and Conjugate Gradient (CG) solvers.en_US
dc.description.sectionheadersComputação Gráfica em Tempo Real e Paralelização de Algoritmos
dc.description.seriesinformationACTAS DO 17º ENCONTRO PORTUGUÊS DE COMPUTAÇÃO GRÁFICA
dc.identifier.doi10.2312/pt.20091234
dc.identifier.isbn978-3-03868-154-0
dc.identifier.pages251-260
dc.identifier.urihttps://doi.org/10.2312/pt.20091234
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pt20091234
dc.publisherThe Eurographics Associationen_US
dc.titleLinear Solvers for Stable Fluids: GPU vs CPUen_US
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