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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).
Hardware-accelerated GPU scheduling: masked as an additional option in the system settings, when enabled offloads high-frequency tasks to a dedicated GPU-based scheduling processor, reducing CPU scheduling overhead. Requires ad-hoc hardware and driver support. [61] Sampler Feedback, allowing a finer tune of the resources usage in a scene. [62]
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.
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 ...
Non-hardware-related vendors may also assist free graphics initiatives. Red Hat has two full-time employees (David Airlie and Jérôme Glisse) working on Radeon software, [102] and the Fedora Project sponsors a Fedora Graphics Test Week event before the launch of their new Linux distribution versions to test free graphics drivers. [103]
Nvidia started enabling PhysX hardware acceleration on its line of GeForce graphics cards [7] and eventually dropped support for Ageia PPUs. [ 8 ] PhysX SDK 3.0 was released in May 2011 and represented a significant rewrite of the SDK, bringing improvements such as more efficient multithreading and a unified code base for all supported platforms.
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).
Video Decode Acceleration Framework is Apple Inc.'s API for hardware-accelerated decoding of H.264 on Mac OS X; VideoToolbox is an API from Apple Inc. for hardware-accelerated decoding on Apple TV and Mac OS X. [39] OpenMAX IL (Open Media Acceleration Integration Layer) - a royalty-free cross-platform media abstraction API from the Khronos Group