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  2. General-purpose computing on graphics processing units

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

    General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).

  3. Graphics processing unit - Wikipedia

    en.wikipedia.org/wiki/Graphics_processing_unit

    Dedicated graphics processing units uses RAM that is dedicated to the GPU rather than relying on the computer’s main system memory. This RAM is usually specially selected for the expected serial workload of the graphics card (see GDDR).

  4. Vulkan - Wikipedia

    en.wikipedia.org/wiki/Vulkan

    Vulkan is a low-level, low-overhead cross-platform API and open standard for 3D graphics and computing. [15] [16] [17] It was intended to address the shortcomings of OpenGL, and allow developers more control over the GPU. It is designed to support a wide variety of GPUs, CPUs and operating systems, and it is also designed to work with modern ...

  5. Graphics card - Wikipedia

    en.wikipedia.org/wiki/Graphics_card

    A modern consumer graphics card: A Radeon RX 6900 XT from AMD. A graphics card (also called a video card, display card, graphics accelerator, graphics adapter, VGA card/VGA, video adapter, display adapter, or colloquially GPU) is a computer expansion card that generates a feed of graphics output to a display device such as a monitor.

  6. Graphics hardware - Wikipedia

    en.wikipedia.org/wiki/Graphics_hardware

    The GPU, [3] or graphics processing unit, is the unit that allows the graphics card to function. It performs a large amount of the work given to the card. The majority of video playback on a computer is controlled by the GPU. Once again, a GPU can be either integrated or dedicated.

  7. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    The graphics processing unit (GPU), as a specialized computer processor, addresses the demands of real-time high-resolution 3D graphics compute-intensive tasks. By 2012, GPUs had evolved into highly parallel multi-core systems allowing efficient manipulation of large blocks of data.

  8. Nvidia's Blackwell chip could push the company into a new ...

    www.aol.com/finance/nvidias-blackwell-chip-could...

    It’s the largest GPU (graphics processing unit) ever built, created by connecting two dies via a high bandwidth interface (HBI). ... (high-performance computing), and AI at Nvidia, said in a ...

  9. RDNA 2 - Wikipedia

    en.wikipedia.org/wiki/RDNA_2

    RDNA 2 contains a significant increase in the number of Compute Units (CUs) with a maximum of 80, a doubling from the maximum of 40 in the Radeon RX 5700 XT. [1] Each Compute Unit contains 64 shader cores. [7] CUs are organized into groups of two named Work Group Processors with 32 KB of shared L0 cache per WGP.