Model reduction for real-time fluids
ACM SIGGRAPH 2006 Papers
Efficient animation of water flow on irregular terrains
Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia
Stable and efficient miscible liquid-liquid interactions
Proceedings of the 2007 ACM symposium on Virtual reality software and technology
TeraFLOP computing on a desktop PC with GPUs for 3D CFD
International Journal of Computational Fluid Dynamics - Mesoscopic Methods And Their Applications To CFD
A GPU-based method for approximate real-time fluid flow simulation
Machine Graphics & Vision International Journal
Modular bases for fluid dynamics
ACM SIGGRAPH 2009 papers
Real-time shallow water simulation on terrain
Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry
Assessment of GPU computational enhancement to a 2D flood model
Environmental Modelling & Software
A multi-GPU based semi-Lagrangian fluid solver
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
Dynamic grid refinement for fluid simulations on parallel graphics architectures
EG PGV'09 Proceedings of the 9th Eurographics conference on Parallel Graphics and Visualization
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Taking advantage of the parallelism and programmability of GPU, we solve the fluid dynamics problem completely on GPU. Different from previous methods, the whole computation is accelerated in our method by packing the scalar and vector variables into four channels of texels. In order to be adaptive to the arbitrary boundary conditions, we group the grid nodes into different types according to their positions relative to obstacles and search the node that determines the value of the current node. Then we compute the texture coordinates offsets according to the type of the boundary condition of each node to determine the corresponding variables and achieve the interaction of flows with obstacles set freely by users. The test results prove the efficiency of our method and exhibit the potential of GPU for general-purpose computations. Copyright © 2004 John Wiley & Sons, Ltd.