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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 ...
DirectX Video Acceleration (DXVA) is a Microsoft API specification for the Microsoft Windows and Xbox 360 platforms that allows video decoding to be hardware-accelerated.The pipeline allows certain CPU-intensive operations such as iDCT, motion compensation and deinterlacing to be offloaded to the GPU.
In mediated device pass-through or full GPU virtualization, the GPU hardware provides contexts with virtual memory ranges for each guest through IOMMU and the hypervisor sends graphical commands from guests directly to the GPU. This technique is a form of hardware-assisted virtualization and achieves near-native [b] performance and high ...
The Nvidia GeForce 256 (also known as NV10) was the first consumer-level card with hardware-accelerated T&L; While the OpenGL API provided software support for texture mapping and lighting the first 3D hardware acceleration for these features arrived with the first Direct3D accelerated consumer GPU's.
You see, Nvidia's GPUs (hardware) run on the company's compute unified device architecture (CUDA) software. This tight integration makes it extremely difficult for businesses to leverage products ...
As the demand for better graphics increased, hardware manufacturers created a way to decrease the amount of CPU time required to fill the framebuffer. This is commonly called graphics acceleration. Common graphics drawing commands (many of them geometric) are sent to the graphics accelerator in their raw form.
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).
Last year, it had a nearly 90% share of the GPU market. Beyond its high-powered chips, the company built itself a wide moat through its CUDA software platform, which it developed back in 2006.
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