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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Posted: 04 Sep 2007 [GPGPU /Tools] # Graphic processors to speed-up simulations for the design of high performance solar receptors This paper by Collange et
al. at Université de Perpignan, France, decribes a prototype to be
integrated into simulation codes that estimate temperature, velocity and
pressure to design next generation solar receptors. Such codes delegate to
GPUs the computation of heat transfer due to radiation. The authors use
Monte-Carlo line-by-line ray-tracing through finite volumes. This means
data-parallel arithmetic transformations on large data structures. The
performance on two recent graphics cards (Nvidia 7800GTX and ATI RX1800XL)
show speedups higher than 400 compared to CPU implementations leaving
most of CPU computing resources available. As there were some questions
pending about the accuracy of the operators implemented in GPUs, the authors
start this report with a survey and some contributed tests on the various floating
point units available on GPUs. (Graphic
processors to speed-up simulations for the design of high performance solar
receptors. S. Collange, M. Daumas, D. Defour. Proceedings of the IEEE
18th International Conference on Application-specific Systems, Architectures
and Processors.)
Posted: 04 Sep 2007 [GPGPU /Scientific Computing] # |
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