Search results
Results From The WOW.Com Content Network
Nvidia NVENC (short for Nvidia Encoder) [1] is a feature in Nvidia graphics cards that performs video encoding, offloading this compute-intensive task from the CPU to a dedicated part of the GPU. It was introduced with the Kepler -based GeForce 600 series in March 2012 (GT 610, GT620 and GT630 is Fermi Architecture).
Nvidia NVDEC (formerly known as NVCUVID [1]) is a feature in its graphics cards that performs video decoding, offloading this compute-intensive task from the CPU. [2] NVDEC is a successor of PureVideo and is available in Kepler and later Nvidia GPUs. It is accompanied by NVENC for video encoding in Nvidia's Video Codec SDK. [2]
This definition has the following advantage. If fixed voxel form is used within the whole model it is much easier to operate with voxel nodal points (i.e. three coordinates of this point). Yet, there is the simple form of record: indexes of the elements in the model set (i.e. integer coordinates).
Nvidia VDPAU Feature Sets [18] are different hardware generations of Nvidia GPU's supporting different levels of hardware decoding capabilities. For feature sets A, B and C, the maximum video width and height are 2048 pixels , minimum width and height 48 pixels, and all codecs are currently limited to a maximum of 8192 macroblocks (8190 for VC ...
Nvidia VDPAU Feature Sets [32] are different hardware generations of GPU's supporting different levels of (Nvidia PureVideo) hardware decoding capabilities. For feature sets A, B and C, the maximum video width and height are 2048 pixels , minimum width and height 48 pixels, and all codecs are currently limited to a maximum of 8192 macroblocks ...
Mesa maintains a support matrix with the status of the current OpenGL conformance [6] [7] visualized at mesamatrix.net. Mesa 10 complies with OpenGL 3.3 for Intel, AMD/ATI, and Nvidia GPU hardware. Mesa 11 was announced with some drivers being OpenGL 4.1 compliant. [8] Mesa 12 contains OpenGL 4.2 and 4.3 and Intel Vulkan 1.0 support.
Scalable Link Interface (SLI) is the brand name for a now discontinued multi-GPU technology developed by Nvidia (The technology was invented and developed by 3dfx and later purchased by Nvidia during the acquisition of 3dfx) for linking two or more video cards together to produce a single output.
The dominant proprietary framework is Nvidia CUDA. [13] Nvidia launched CUDA in 2006, a software development kit (SDK) and application programming interface (API) that allows using the programming language C to code algorithms for execution on GeForce 8 series and later GPUs. ROCm, launched in 2016, is AMD's open-source response to CUDA.