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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EDN.com: "Instigating a platform tug of war: Graphics vendors hunger for CPU suppliers' turf" This article by EDN Senior Technical Editor Brian Dipert investigates the increasing
generalization of the GPU business, covering wide-ranging topics including the AGP-
to-PCI-express platform transition; GPGPU; video codecs; image editing; and physics
simulation. In addition to this article, Dipert will be continuing his exploration
of these topics in his blog. He has already posted several entries related to the
main article (1
2
3
4
5
6).
(Instigating a platform tug of
war: Graphics vendors hunger for CPU suppliers' turf.
Brian Dipert.
EDN.com.)
Posted: 17 Oct 2005 [GPGPU /Press] # Toward Real Time Fractal Image Compression Using Graphics Hardware This ISVC 2005 paper by Ugo Erra presents
parallel fractal image
compression using programmable graphics hardware. The main problem of fractal
compression is the very high computing time needed to encode images. The
implementation in this paper exploits the SIMD architecture and inherent
parallelism of recent GPUs to speed up the baseline approach of fractal
encoding. The results presented are achieved on inexpensive and widely available
graphics boards. (Toward Real
Time Fractal Image Compression Using Graphics Hardware. Ugo Erra. In Proceedings
of International Symposium on Visual Computing
2005)
Posted: 17 Oct 2005 [GPGPU /Image And Volume Processing/Compression] # |
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