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  2. GPU mining - Wikipedia

    en.wikipedia.org/wiki/GPU_mining

    GPU mining is the use of Graphics Processing Units (GPUs) to "mine" proof-of-work cryptocurrencies, such as Bitcoin. [1] Miners receive rewards for performing computationally intensive work, such as calculating hashes, that amend and verify transactions on an open and decentralized ledger.

  3. GPU-Z - Wikipedia

    en.wikipedia.org/wiki/GPU-Z

    TechPowerUp GPU-Z (or just GPU-Z) is a lightweight utility designed to provide information about video cards and GPUs. [2] The program displays the specifications of Graphics Processing Unit (often shortened to GPU) and its memory; also displays temperature, core frequency, memory frequency, GPU load and fan speeds.

  4. GPUOpen - Wikipedia

    en.wikipedia.org/wiki/GPUOpen

    Linux 64-bit, OS X, Windows 64-bit: A high efficiency, high performance heterogeneous ray tracing intersection library for GPU and CPU or APU on any platform. RapidFire SDK GitHub: DirectX, OpenGL: Windows: facilitates the use of AMD's video compression acceleration SIP blocks VCE (H.264 encoder) and UVD (H.264 decoder) for "Cloud gaming"/off ...

  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. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    CUDA is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements for the execution of compute kernels. [6] In addition to drivers and runtime kernels, the CUDA platform includes compilers, libraries and developer tools to help programmers accelerate their applications.

  7. CuPy - Wikipedia

    en.wikipedia.org/wiki/CuPy

    CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3] CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU.

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

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

    They may also control output to the display if the display driver is part of the graphics hardware. Most free and open-source graphics device drivers are developed by the Mesa project. The driver is made up of a compiler, a rendering API, and software which manages access to the graphics hardware.

  9. GeForce 10 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_10_series

    The GeForce 10 series is a series of graphics processing units developed by Nvidia, initially based on the Pascal microarchitecture announced in March 2014. This design series succeeded the GeForce 900 series , and is succeeded by the GeForce 16 series and GeForce 20 series using the Turing microarchitecture .