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  2. Commit charge - Wikipedia

    en.wikipedia.org/wiki/Commit_charge

    This is composed of main memory (RAM) and disk (pagefiles). The corresponding performance counter is called "Committed Bytes". Limit is the maximum possible value for Total; it is the sum of the current pagefile size plus the physical memory available for pageable contents (this excludes RAM that is assigned to non-pageable areas). The ...

  3. GPUOpen - Wikipedia

    en.wikipedia.org/wiki/GPUOpen

    The aim is to reduce latency between hardware so that the hardware can keep up with the user's head movement, eliminating the motion sickness. A particular focus is on dual GPU setups where each GPU will now render for one eye individually of the display Radeon Machine Learning (RML) SDK GitHub: DirectX 12, Metal, OpenCL: Linux, OS X, Windows

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

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

    The Videocore GPU runs an RTOS which handles the processing; video acceleration is done with RTOS firmware coded for its proprietary GPU, and the firmware was not open-sourced on that date. [92] Since there was neither a toolchain targeting the proprietary GPU nor a documented instruction set , no advantage could be taken if the firmware source ...

  5. Memory leak - Wikipedia

    en.wikipedia.org/wiki/Memory_leak

    A memory leak can cause an increase in memory usage and performance run-time, and can negatively impact the user experience. [4] Eventually, in the worst case, too much of the available memory may become allocated and all or part of the system or device stops working correctly, the application fails, or the system slows down vastly due to ...

  6. 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).

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  8. 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).

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