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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Neoptica White Paper on Programmable Graphics Neoptica has recently posted a
whitepaper, "Programmable
Graphics—The Future of Interactive Rendering." It introduces
the coming era of programmable graphics, in which developers
implement rendering algorithms using combinations of parallel CPU and
GPU tasks executing cooperatively on heterogeneous multi-core
architectures of the near future. By embracing both task- and
data-parallel computation, this approach frees developers to use the
most efficient parallel computation style for their algorithms, and
makes it possible to define custom graphics pipelines built using
complex algorithms and dynamic data structures. The paper argues that
future graphics applications that leverage the tightly coupled
capabilities of forthcoming CPUs and GPUs will generate far richer and
more realistic imagery, use computational resources more efficiently,
and scale to large numbers of CPU and GPU cores.
Posted: 02 Apr 2007 [GPGPU /Advanced Rendering] # GPUCV: A free GPU-accelerated library for image processing and computer vision GPUCV is a free
GPU-accelerated library for image processing and computer vision. It offers
an Intel OPENCV-like programming interface for easily porting existing
applications.
A one-page description is available. A longer presentation and discussion
was published at IEEE ICME 2006.
(J.-P. Farrugia, P. Horain, E. Guehenneux, Y. Allusse,
"GPUCV: A framework for image processing acceleration with graphics processors",
CDROM proc. of the
IEEE International Conference on Multimedia & Expo,
July 9-12, 2006, Toronto, Ontario, Canada.)
Posted: 02 Apr 2007 [GPGPU /Image And Volume Processing] # |
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