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  2. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    The initial CUDA SDK was made public on 15 February 2007, for Microsoft Windows and Linux. Mac OS X support was later added in version 2.0, [18] which supersedes the beta released February 14, 2008. [19] CUDA works with all Nvidia GPUs from the G8x series onwards, including GeForce, Quadro and the Tesla line. CUDA is compatible with most ...

  3. Nvidia CUDA Compiler - Wikipedia

    en.wikipedia.org/wiki/Nvidia_CUDA_Compiler

    CUDA code runs on both the central processing unit (CPU) and graphics processing unit (GPU). NVCC separates these two parts and sends host code (the part of code which will be run on the CPU) to a C compiler like GNU Compiler Collection (GCC) or Intel C++ Compiler (ICC) or Microsoft Visual C++ Compiler, and sends the device code (the part which will run on the GPU) to the GPU.

  4. List of Nvidia graphics processing units - Wikipedia

    en.wikipedia.org/wiki/List_of_Nvidia_graphics...

    Direct3D – Maximum version of Direct3D fully supported. OpenGL – Maximum version of OpenGL fully supported. OpenCL – Maximum version of OpenCL fully supported. Vulkan – Maximum version of Vulkan fully supported. CUDA - Maximum version of Cuda fully supported. Features – Added features that are not standard as a part of the two ...

  5. Quadro - Wikipedia

    en.wikipedia.org/wiki/Quadro

    Download as PDF; Printable version; In other projects ... Nvidia used driver software and firmware to selectively enable features vital ... CUDA SDK 7.5 support for ...

  6. macOS Big Sur - Wikipedia

    en.wikipedia.org/wiki/MacOS_Big_Sur

    The release of Big Sur was the first time the major version number of the operating system had been incremented since the Mac OS X Public Beta in 2000. After sixteen distinct versions of macOS 10 ("Mac OS X"), macOS Big Sur was presented as version 11 in 2020, and every subsequent version has also incremented the major version number, similarly ...

  7. OpenCL - Wikipedia

    en.wikipedia.org/wiki/OpenCL

    OpenCL (Open Computing Language) is a framework for writing programs that execute across heterogeneous platforms consisting of central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), field-programmable gate arrays (FPGAs) and other processors or hardware accelerators.