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

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

    Assembled Project VGA graphics board Open Graphics Project prototype. Project VGA aims to create a low-budget, open-source VGA-compatible video card. [104] The Open Graphics Project aims to create an open-hardware GPU. The Open Graphics Device v1 has dual DVI-I outputs and a 100-pin IDC connector.

  3. CodeXL - Wikipedia

    en.wikipedia.org/wiki/CodeXL

    CodeXL's GPU profiler collects and visualizes hardware performance counters data, application trace, kernel occupancy, and offers hotspot analysis for AMD GPUs and APUs. . The profiler gathers data from the OpenCL runtime, and from the GPU/APU itself during the execution of the kernels, and can be used to discover performance bottlenecks and optimize kernel execut

  4. GPUOpen - Wikipedia

    en.wikipedia.org/wiki/GPUOpen

    Nicolas Thibieroz, AMD's Senior Manager of Worldwide Gaming Engineering, argues that "it can be difficult for developers to leverage their R&D investment on both consoles and PC because of the disparity between the two platforms" and that "proprietary libraries or tools chains with "black box" APIs prevent developers from accessing the code for maintenance, porting or optimizations purposes". [7]

  5. 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 .

  6. GPU switching - Wikipedia

    en.wikipedia.org/wiki/GPU_switching

    The discrete graphics card is usually installed onto the graphics card slot such as PCI-Express and the integrated graphics is integrated onto the CPU itself or occasionally onto the Northbridge. [ citation needed ] The Northbridge is the most responsible for switching between GPUs.

  7. 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).

  8. 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).

  9. Video Coding Engine - Wikipedia

    en.wikipedia.org/wiki/Video_Coding_Engine

    It, together with UVD 6.0, can be found on 3rd generation of Graphics Core Next (GCN3) with "Tonga" and "Fiji" (VCE 3.0) based graphics controller hardware, which is now used AMD Radeon Rx 300 series (Pirate Islands GPU family) and VCE 3.4 by actual AMD Radeon Rx 400 series and AMD Radeon 500 series (both Polaris GPU family).