GPGPU |
General-Purpose Computation Using Graphics Hardware
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IntroductionGPGPU stands for General-Purpose computation on GPUs. With the increasing programmability of commodity graphics processing units (GPUs), these chips are capable of performing more than the specific graphics computations for which they were designed. They are now capable coprocessors, and their high speed makes them useful for a variety of applications. The goal of this page is to catalog the current and historical use of GPUs for general-purpose computation.
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Open-Source Direct3D Fluid Simulation Library Released A free open-source library for grid-based, Navier-Stokes fluid simulation on the GPU has been released. The code compiles under the DirectX 9.0 SDK (Summer 2003 Update) and is structured for easy integration into existing DirectX applications (for example, single methods to add fluid emitters and to advance the simulation, etc). This code has been used in the computer game Ensign Expendable developed by Strange Bunny. (Open-Source Direct3D Fluid Simulation Library.)
Posted: 12 Dec 2004 [GPGPU /Scientific Computing] # AT&T Labs GPGPU Research Group The GPGPU group at AT&T Labs - Research conducts research on GPU applications in the areas of computational geometry, data visualization and data analysis. (AT&T Labs GPGPU Home Page)
Posted: 12 Dec 2004 [GPGPU /Miscellaneous/Research Groups] # Hardware Assisted Natural Neighbour Interpolation Natural neighbour interpolation is a popular nonparametric method for interpolating among sample data points and is based on computing Voronoi diagrams. In this paper by Fan, Efrat, Koltun, Krishnan and Venkatasubramanian, we show how natural neighbour interpolation can be performed very efficiently on the GPU. The main advantage of this approach is that multiple interpolation queries can be issued simultaneously; the algorithm creates a scalar field for the interpolated result.
(Hardware Assisted Natural Neighbour Interpolation. Quanfu Fan, Alon Efrat, Vladlen Koltun, Shankar Krishnan, and Suresh Venkatasubramanian. Proc. 7th Workshop on Algorithms Engineering and Experimentation.)
Posted: 12 Dec 2004 [GPGPU /Computational Geometry] # |
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