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Last month, NVIDIA announced it has released version 2.2 of the CUDA Toolkit and SDK for GPU Computing. This latest release supports several significant new features that deliver a major leap forward in getting the most performance out of NVIDIA’s massively parallel CUDA-enabled GPUs. In addition, version 2.2 of the CUDA Toolkit includes support for Windows 7, the upcoming OS from Microsoft that embraces GPU Computing.  You can find the CUDA 2.2 toolkit at http://www.nvidia.com/object/cuda_get.html


05/28/2009 | Direct link

On May 12th, NVIDIA Corporation announced its OpenCL™ 1.0 drivers for Windows XP and LINUX have been submitted to the Khronos OpenCL Working Group for certification immediately after the conformance tests were approved. These pre-release drivers are now available to all NVIDIA GPU Computing registered developers.

NVIDIA was the first to provide pre-release drivers to its OpenCL Early Access Program participants in April 2009. NVIDIA remains the only vendor today with software and hardware available for developers to program with OpenCL as well as other GPU Computing environments including DirectX Compute, C with CUDA extensions and other languages.

NVIDIA’s OpenCL 1.0 drivers will support all GPU’s based on the CUDA architecture Learn More

To apply to become a GPU Computing registered developer or for more information on NVIDIA’s support for OpenCL visit www.nvidia.com/opencl

Pls note: OpenCL is a trademark of Apple Inc. used by permission by The Khronos Group.


05/28/2009 | Direct link

The GPU Technology Conference, taking place September 30 to October 2 in San Jose, California, will focus on the latest breakthroughs developers, engineers, and researchers are achieving through the use of the GPU to solve the world’s most important computing challenges. Attendees will

•  Learn about the seismic shifts happening in computing.
•  Preview disruptive technologies to stay ahead of imminent trends.
•  Get tools and techniques to impact mission critical-projects now.
•  Network with experts and peers from across a broad range of fields.

Learn More> http://www.nvidia.com/gtc


05/27/2009 | Direct link

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