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  2. General-purpose computing on graphics processing units

    en.wikipedia.org/wiki/General-purpose_computing...

    Some very heavily optimized pipelines have yielded speed increases of several hundred times the original CPU-based pipeline on one high-use task. A simple example would be a GPU program that collects data about average lighting values as it renders some view from either a camera or a computer graphics program back to the main program on the CPU ...

  3. Superposition Benchmark - Wikipedia

    en.wikipedia.org/wiki/Superposition_Benchmark

    Superposition Benchmark is a benchmarking software based on the UNIGINE Engine. The benchmark was developed and published by UNIGINE Company in 2017. The main purpose of software is performance and stability testing for GPUs. Users can choose a workload preset, Low to Extreme, or set the parameters by custom.

  4. Nvidia NVENC - Wikipedia

    en.wikipedia.org/wiki/Nvidia_NVENC

    Nvidia NVENC (short for Nvidia Encoder) [1] is a feature in Nvidia graphics cards that performs video encoding, offloading this compute-intensive task from the CPU to a dedicated part of the GPU. It was introduced with the Kepler-based GeForce 600 series in March 2012 (GT 610, GT620 and GT630 is Fermi Architecture). [2] [3]

  5. GPU virtualization - Wikipedia

    en.wikipedia.org/wiki/GPU_virtualization

    GPU virtualization refers to technologies that allow the use of a GPU to accelerate graphics or GPGPU applications running on a virtual machine. GPU virtualization is used in various applications such as desktop virtualization , [ 1 ] cloud gaming [ 2 ] and computational science (e.g. hydrodynamics simulations).

  6. Geekbench - Wikipedia

    en.wikipedia.org/wiki/Geekbench

    Geekbench began as a benchmark for Mac OS X and Windows, [3] and is now a cross-platform benchmark that supports macOS, Windows, Linux, Android and iOS. [4]In version 4, Geekbench started measuring GPU performance in areas such as image processing and computer vision.

  7. 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. [5] In addition to drivers and runtime kernels, the CUDA platform includes compilers, libraries and developer tools to help programmers accelerate their applications.

  8. 3DMark - Wikipedia

    en.wikipedia.org/wiki/3DMark

    3DMark is a computer benchmarking tool created and developed by UL (formerly Futuremark), to determine the performance of a computer's 3D graphic rendering and CPU workload processing capabilities. Running 3DMark produces a 3DMark score, with higher numbers indicating better performance.

  9. Benchmark (computing) - Wikipedia

    en.wikipedia.org/wiki/Benchmark_(computing)

    A graphical demo running as a benchmark of the OGRE engine. In computing, a benchmark is the act of running a computer program, a set of programs, or other operations, in order to assess the relative performance of an object, normally by running a number of standard tests and trials against it.