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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GPU-Accelerated Computed Tomography The task of reconstructing an object from its projections via tomographic methods is a time-consuming process due to the vast complexity of the data. GPUs offer an affordable alternative to proprietary ASICs and FPGAs.
Fang Xu and Klaus Mueller
at Stony Brook
University have shown that the latest generation of GPUs can be exploited to perform both analytical and iterative reconstruction from X-ray and functional imaging data at clinical rates and high quality. Visualization of the
reconstructed object is easily achieved since the object already resides in the graphics hardware, allowing one to run a visualization module at any time to view the reconstruction results. Their implementation allows speedups of 1-2 orders of magnitude over software implementations, at
comparable image quality. (Link
to the project page)
Posted: 05 May 2005 [GPGPU /Image And Volume Processing] # |
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