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  2. nouveau (software) - Wikipedia

    en.wikipedia.org/wiki/Nouveau_(software)

    In the middle: the FOSS stack, composed out of DRM & KMS driver, libDRM and Mesa 3D.Right side: Proprietary drivers: Kernel BLOB and User-space components. nouveau (/ n uː ˈ v oʊ /) is a free and open-source graphics device driver for Nvidia video cards and the Tegra family of SoCs written by independent software engineers, with minor help from Nvidia employees.

  3. Nvidia System Tools - Wikipedia

    en.wikipedia.org/wiki/Nvidia_System_Tools

    www.nvidia.com /en-us /drivers /nvidia-system-tools-6 _08-driver / NVIDIA System Tools (previously called nTune ) is a discontinued collection of utilities for accessing, monitoring, and adjusting system components, including temperature and voltages with a graphical user interface within Windows, rather than through the BIOS .

  4. Nvidia GameWorks - Wikipedia

    en.wikipedia.org/wiki/Nvidia_GameWorks

    Nvidia GameWorks is a middleware software suite developed by Nvidia. [1] The Visual FX, PhysX, and Optix SDKs provide a wide range of enhancements pre-optimized for Nvidia GPUs . [ 2 ] GameWorks is partially open-source . [ 3 ]

  5. Free and open-source graphics device driver - Wikipedia

    en.wikipedia.org/wiki/Free_and_open-source...

    Although AMDGPU only officially supports GCN 1.2 and later graphics cards, [29] experimental support for GCN 1.0 and 1.1 graphics cards (which are only officially supported by the Radeon driver) may be enabled via a kernel parameter. [30] [31] A separate libdrm, libdrm-amdgpu, has been included since libdrm 2.4.63. [32]

  6. List of 3D graphics libraries - Wikipedia

    en.wikipedia.org/wiki/List_of_3D_graphics_libraries

    These APIs have also proved vital to computer graphics hardware manufacturers, as they provide a way for programmers to access the hardware in an abstract way, while still taking advantage of the special hardware of any specific graphics card. The first 3D graphics framework was probably Core, published by the ACM in 1977.

  7. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA is a proprietary [2] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.

  8. GeForce 900 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_900_series

    Additionally, it was revealed that the card was designed to access its memory as a 3.5 GB section, plus a 0.5 GB one, access to the latter being 7 times slower than the first one. [31] The company then went on to promise a specific driver modification in order to alleviate the performance issues produced by the cutbacks suffered by the card. [ 32 ]

  9. Nvidia - Wikipedia

    en.wikipedia.org/wiki/Nvidia

    Additionally, it was revealed that the card was designed to access its memory as a 3.5 GB section, plus a 0.5 GB one, access to the latter being 7 times slower than the first one. [211] The company then went on to promise a specific driver modification to alleviate the performance issues produced by the cutbacks suffered by the card. [ 212 ]

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