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Thread: NVIDIA Releases OpenCL Driver To Developers

  1. #1
    Join Date
    Nov 2008
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    74

    NVIDIA Releases OpenCL Driver To Developers

    NVIDIA Corporation, the inventor of the GPU, today announced the release of its OpenCL driver and software development kit (SDK) to developers participating in its OpenCL Early Access Program. NVIDIA is providing this release to solicit early feedback in advance of a beta release which will be made available to all GPU Computing Registered Developers in the coming months.

    “The OpenCL standard was developed on NVIDIA GPUs and NVIDIA was the first company to demonstrate OpenCL code running on a GPU,” said Tony Tamasi, senior vice president of technology and content at NVIDIA. “Being the first to release an OpenCL driver to developers cements NVIDIA’s leadership in GPU Computing and is another key milestone in our ongoing strategy to make the GPU the soul of the modern PC.”

    At the core of NVIDIA’s GPU Computing strategy is the massively parallel CUDA™ architecture that NVIDIA pioneered and has been shipping since 2006. Accessible today through familiar industry standard programming environments such as C, Java, Fortran and Python, the CUDA architecture supports all manner of computational interfaces and, as such, is a perfect complement to OpenCL. Enabled on over 100 million NVIDIA GPUs, the CUDA architecture is enabling developers to innovate with the GPU and unleash never before seen performance across a wide range of applications.

    Developers can apply to become a GPU Computing Registered Developer at: www.nvidia.com/opencl

  2. #2
    Join Date
    May 2009
    Posts
    201

    Re: NVIDIA Releases OpenCL Driver To Developers

    OpenCL™ (Open Computing Language) is a low-level API standard for heterogeneous computing that runs on the CUDA architecture. The OpenCL specification is under development at Khronos, which is open to any interested company to join. NVIDIA enthusiastically supports all languages and API’s that enable developers to access the parallel processing power of the GPU. The programming language used to write computation kernels is based on C99 with some limitations and additions.

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