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  2. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    CUDA 9.0–9.2 comes with these other components: CUTLASS 1.0 – custom linear algebra algorithms, NVIDIA Video Decoder was deprecated in CUDA 9.2; it is now available in NVIDIA Video Codec SDK; CUDA 10 comes with these other components: nvJPEG – Hybrid (CPU and GPU) JPEG processing; CUDA 11.0–11.8 comes with these other components: [19 ...

  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. Parallel Thread Execution - Wikipedia

    en.wikipedia.org/wiki/Parallel_Thread_Execution

    The Nvidia CUDA Compiler (NVCC) translates code written in CUDA, a C++-like language, into PTX instructions (an assembly language represented as American Standard Code for Information Interchange text), and the graphics driver contains a compiler which translates PTX instructions into executable binary code, [2] which can run on the processing ...

  5. 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.

  6. Nvidia NVDEC - Wikipedia

    en.wikipedia.org/wiki/Nvidia_NVDEC

    Nvidia NVDEC (formerly known as NVCUVID [1]) is a feature in its graphics cards that performs video decoding, offloading this compute-intensive task from the CPU. [2] NVDEC is a successor of PureVideo and is available in Kepler and later NVIDIA GPUs. It is accompanied by NVENC for video encoding in Nvidia's Video Codec SDK. [2]

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

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

    Nvidia's proprietary driver, Nvidia GeForce driver for GeForce, is available for Windows x86/x86-64, Linux x86/x86-64/ARM, OS X 10.5 and later, Solaris x86/x86-64 and FreeBSD x86/x86-64. A current version can be downloaded from the Internet, and some Linux distributions contain it in their repositories.

  8. GeForce - Wikipedia

    en.wikipedia.org/wiki/GeForce

    Nvidia develops and publishes GeForce drivers for Windows 10 x86/x86-64 and later, Linux x86/x86-64/ARMv7-A, OS X 10.5 and later, Solaris x86/x86-64 and FreeBSD x86/x86-64. [44] A current version can be downloaded from Nvidia and most Linux distributions contain it in their own repositories.

  9. PhysX - Wikipedia

    en.wikipedia.org/wiki/PhysX

    At GDC 2015, Nvidia made the source code for PhysX available on GitHub, but required registration at developer.nvidia.com. [9] The proprietary SDK was provided to developers for free for both commercial and non-commercial use on Windows, Linux, macOS, iOS and Android platforms. [10]