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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GPGPU Tutorial and Workshop at Supercomputing 2006 Please join us next week in Tampa, Florida at
Supercomputing 2006 for a
full-day GPGPU Tutorial on
Sunday, November 12 2006. This is the continuation of a series of
well-regarded courses presented at the SIGGRAPH and IEEE Visualization
conferences. The course at SC06 has been updated for the Supercomputing
audience with the latest results and techniques. Then, on Monday November 13,
plan to attend the SC06 Workshop,
"General-Purpose
GPU Computing: Practice and Experience". This workshop features invited
speakers and poster presenters who provide insights into current GPGPU
practice and experience, and chart future directions in heterogeneous and
homogeneous multi-core processor architectures and data-parallel processor
architectures such as GPUs.
Posted: 07 Nov 2006 [GPGPU /Conferences] # gDEBugger V3.0 Supports OpenGL 2.1 and adds ATI Hardware Performance Counters Integration Graphic Remedy is proud to announce the release of gDEBugger Version 3.0. This new major version supports OpenGL V2.1 standards and contains ATI Hardware Performance Counters (Percentage Hardware busy, Transform Clip Lighting unit busy, etc.) integration. These counters are displayed in the Performance Graph and Performance Dashboard Views. V3.0 also adds the option for Floating Licenses with a dedicated License Server. The new version can be downloaded from http://www.gremedy.com/download.php.
Posted: 07 Nov 2006 [GPGPU /Tools] # Multi-view stereo vision challenge A multi-view stereo
evaluation has been proposed by Steve Seitz et al. The challenge
involves recovering 3D reconstructions of complete objects from a large
number of views. Among the reported techniques, two out of nine
make an intensive usage of GPUs, both yielding large speedups: the work by
Pons, Keriven
and Labatut that took part in the original competition at CVPR06, and the
work by
Hornung and Kobbelt. Running times, accuracy and completeness of the
methods are reported here.
(Steve Seitz et al.
A
Comparison and Evaluation of Multi-View Stereo Reconstruction
Algorithms, in IEEE Computer Society Conference on Computer Vision
and Pattern Recognition (CVPR), New York, 2006.)
Posted: 07 Nov 2006 [GPGPU /Image And Volume Processing/Computer Vision] # |
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