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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NVIDIA Releases CUDA for GPU Computing A beta of NVIDIA's CUDA development environment, NVIDIA's new technology for computing with GPUs, is now posted on developer.nvidia.com. This beta release of CUDA contains a C-compiler for the GPU and an SDK with examples to get you started coding for the GPU. From the press release: "GPU Computing with CUDA is a new approach to computing where hundreds of on-chip processors simultaneously communicate and cooperate to solve complex computing problems. Applications that require mathematically intensive computing on large amounts of data are ideal targets for GPU Computing. NVIDIA’s CUDA technology is available in GeForce® 8800 graphics products and future NVIDIA Quadro® Professional Graphics solutions based on 8-series (G8X) GPUs. Developers are invited to download the beta version of the CUDA Software Developers Kit (SDK) and C compiler for Windows XP and Linux (RedHat Release 4 Update 3) from the NVIDIA Developer Web site at developer.nvidia.com/cuda. GPU Computing Forums for news, discussion and programming tips are also available at forums.nvidia.com."
Posted: 16 Feb 2007 [GPGPU /High-Level Languages] # |
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