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  2. General-purpose computing on graphics processing units

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

    Cards from such vendors differ on implementing data-format support, such as integer and floating-point formats (32-bit and 64-bit). Microsoft introduced a Shader Model standard, to help rank the various features of graphic cards into a simple Shader Model version number (1.0, 2.0, 3.0, etc.).

  3. OpenGL - Wikipedia

    en.wikipedia.org/wiki/OpenGL

    OpenGL (Open Graphics Library [4]) is a cross-language, cross-platform application programming interface (API) for rendering 2D and 3D vector graphics. The API is typically used to interact with a graphics processing unit (GPU), to achieve hardware-accelerated rendering .

  4. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    CUDA is designed to work with programming languages such as C, C++, Fortran and Python. This accessibility makes it easier for specialists in parallel programming to use GPU resources, in contrast to prior APIs like Direct3D and OpenGL, which require advanced skills in graphics programming. [7]

  5. Graphics processing unit - Wikipedia

    en.wikipedia.org/wiki/Graphics_processing_unit

    A graphics processing unit (GPU) is a specialized electronic circuit initially designed for digital image processing and to accelerate computer graphics, being present either as a discrete video card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles.

  6. Graphics hardware - Wikipedia

    en.wikipedia.org/wiki/Graphics_hardware

    In the graphics cards department, using integrated chips is much cheaper than buying a dedicated card, however the performance conforms to the price. Also, computer graphics hardware usually generates a larger amount of heat, especially high end gaming pieces, and requires additional cooling systems to prevent overheating. [ 7 ]

  7. ROCm - Wikipedia

    en.wikipedia.org/wiki/ROCm

    ROCm [3] is an Advanced Micro Devices (AMD) software stack for graphics processing unit (GPU) programming. ROCm spans several domains: general-purpose computing on graphics processing units (GPGPU), high performance computing (HPC), heterogeneous computing.