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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Demo: Cloth Simulation on the GPU This demo by Simon Green of NVIDIA demonstrates Verlet cloth simulation implemented on the GPU using fragment programs and floating point buffers. It uses the GL_NV_pixel_data_range OpenGL extension to implement "render to vertex array" in order to render the cloth as a mesh.
(Cloth Simulation Demo)
Posted: 24 Mar 2003 [GPGPU /Scientific Computing] # Course: Real-Time Graphics Architectures, Algorithms, and Programming Systems This University of Texas seminar, taught by Bill Mark, covers recent developments in graphics architectures and programming systems, and explores related topics from general-purpose parallel computation. The seminar also examines the connection between the algorithms used for real-time graphics and the architectures that are chosen to support them. (CS 295t: Real-time Graphics Architectures, Algorithms, and Programming Systems)
Posted: 24 Mar 2003 [GPGPU /Miscellaneous/Courses] # |
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