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  2. General-purpose computing on graphics processing units

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

    Historically, CPUs have used hardware-managed caches, but the earlier GPUs only provided software-managed local memories. However, as GPUs are being increasingly used for general-purpose applications, state-of-the-art GPUs are being designed with hardware-managed multi-level caches which have helped the GPUs to move towards mainstream computing.

  3. Graphics card - Wikipedia

    en.wikipedia.org/wiki/Graphics_card

    Graphics cards are sometimes called discrete or dedicated graphics cards to emphasize their distinction to an integrated graphics processor on the motherboard or the central processing unit (CPU). A graphics processing unit (GPU) that performs the necessary computations is the main component in a graphics card, but the acronym "GPU" is ...

  4. Graphics processing unit - Wikipedia

    en.wikipedia.org/wiki/Graphics_processing_unit

    Components of a GPU. 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.

  5. Hardware acceleration - Wikipedia

    en.wikipedia.org/wiki/Hardware_acceleration

    Hardware acceleration is the use of computer hardware designed to perform specific functions more efficiently when compared to software running on a general-purpose central processing unit (CPU). Any transformation of data that can be calculated in software running on a generic CPU can also be calculated in custom-made hardware, or in some mix ...

  6. AMD Software - Wikipedia

    en.wikipedia.org/wiki/AMD_Software

    The main AMD GPU software stacks are fully supported on Linux: GPUOpen for graphics, and ROCm for compute. GPUOpen is most often merely a supplement, for software utilities, to the free Mesa software stack that is widely distributed and available by default on most Linux distributions .

  7. AMD APU - Wikipedia

    en.wikipedia.org/wiki/AMD_APU

    Heterogeneous Memory Management: the CPU's MMU and the GPU's IOMMU share the same address space. [17] [18] 2014 PlayStation 4, Kaveri APUs: CPU and GPU now access the memory with the same address space. Pointers can now be freely passed between CPU and GPU, hence enabling zero-copy. Fully coherent memory between CPU and GPU

  8. ROCm - Wikipedia

    en.wikipedia.org/wiki/ROCm

    ROCm is free, libre and open-source software (except the GPU firmware blobs [4]), and it is distributed under various licenses. ROCm initially stood for Radeon Open Compute platform; however, due to Open Compute being a registered trademark, ROCm is no longer an acronym — it is simply AMD's open-source stack designed for GPU compute.

  9. Vulkan - Wikipedia

    en.wikipedia.org/wiki/Vulkan

    API multi-GPU instead allows the API to intelligently split the workload among two or more completely different GPUs. [41] For example, integrated GPUs included on the CPU can be used in conjunction with a high-end dedicated GPU for a slight performance boost. On March 7, 2018, Vulkan 1.1 was released by the Khronos Group. [42]