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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Announcing GPGPU.org (and .com) GPGPU now has it's own WWW domain! We have registered gpgpu.org and gpgpu.com. We plan to add new features to GPGPU in the future. Possible additions include a discussion forum, benchmark and utility code repository, and more. To start, we've made the site searchable (use the search box on the right). We received much positive feedback during SIGGRAPH, Graphics Hardware, and NVIDIA-U last week. We appreciate all suggestions, contributions, and news items. Thanks!
Posted: 04 Aug 2003 [GPGPU /Site News] # This GH 2003 paper by Kenneth Moreland and Edward Angel describes how to use programmable GPUs
to perform the fast Fourier transform (FFT). Their system that can synthesize an image by conventional means, perform the FFT, filter the image, and finally apply the inverse FFT in well under 1 second for a 512 by 512 image. (The FFT on a GPU. Kenneth Moreland and Edward Angel. Graphics Hardware 2003.)
Posted: 04 Aug 2003 [GPGPU /Scientific Computing] # |
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