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Nvidia GRID is a family of graphics processing units (GPUs) made by Nvidia, introduced in 2008, that is targeted specifically towards cloud gaming. [1] The Nvidia GRID includes both graphics processing and video encoding into a single device which is able to decrease the input to display latency of cloud based video game streaming . [ 2 ]
As of September 2009, a mid-range Nvidia GPU ran GPUGRID applications approximately five times faster than the Cell microprocessor. [1] See also
Core config – The layout of the graphics pipeline, in terms of functional units. Over time the number, type, and variety of functional units in the GPU core has changed significantly; before each section in the list there is an explanation as to what functional units are present in each generation of processors.
GeForce Now (stylized as GeForce NOW) is the brand used by Nvidia for its cloud gaming service. The Nvidia Shield version of GeForce Now, formerly known as Nvidia Grid, launched in beta in 2013, with Nvidia officially unveiling its name on September 30, 2015.
Several warps constitute a thread block. Several thread blocks are assigned to a Streaming Multiprocessor (SM). Several SM constitute the whole GPU unit (which executes the whole Kernel Grid). [citation needed] A pictorial correlation of a programmer's perspective versus a hardware perspective of a thread block in GPU [7]
In computing, CUDA is a proprietary [1] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.
HuffPost Data Visualization, analysis, interactive maps and real-time graphics. Browse, copy and fork our open-source software.; Remix thousands of aggregated polling results.
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).
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