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GPU virtualization
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<p>GPU virtualization refers to technologies that allow the use of a <a href="/facts/Graphics_processing_unit/PTK1RQVp">GPU</a> to <a href="/facts/Hardware_acceleration/ej5sM7hB">accelerate</a> <a href="/facts/Computer_graphics/lapBE8wv">graphics</a> or <a href="/facts/GPGPU/roBwsPY2">GPGPU</a> applications running on a <a href="/facts/Virtual_machine/BLevU3sx">virtual machine</a>. GPU virtualization is used in various applications such as <a href="/facts/Desktop_virtualization/mCcGm6hL">desktop virtualization</a>, <a href="/facts/Cloud_gaming/mqTSvXs8">cloud gaming</a> and <a href="/facts/Computational_science/PnVD19hw">computational science</a> (e.g. <a href="/facts/Fluid_dynamics/y7uzSCfg">hydrodynamics</a> simulations). </p><p>GPU virtualization implementations generally involve one or more of the following techniques: device emulation, API remoting, fixed pass-through and mediated pass-through. Each technique presents different trade-offs regarding virtual machine to GPU <a href="/facts/Consolidation_ratio/BGoQwHnn">consolidation ratio</a>, <a href="/facts/Computer_graphics/lapBE8wv">graphics</a> <a href="/facts/Hardware_acceleration/ej5sM7hB">acceleration</a>, rendering <a href="/facts/Image_quality/hSzpSszC">fidelity</a> and <a href="/facts/Software_feature/9JRKJJxa">feature</a> support, <a href="/facts/Software_portability/tWKVGCBb">portability</a> to different hardware, <a href="/facts/Process_isolation/LflCRbKJ">isolation</a> between virtual machines, and support for suspending/resuming and <a href="/facts/Live_migration/YXXex7GV">live migration</a>. </p>