Search results
Results from the WOW.Com Content Network
Broadcom develops and designs the VideoCore GPU series as part of their SoCs. Since it is used by the Raspberry Pi, there has been considerable interest in a FOSS driver for VideoCore. [90] The Raspberry Pi Foundation, in co-operation with Broadcom, announced on October 24, 2012, that they open-sourced "all the ARM (CPU) code that drives the GPU".
Furthermore, in modern computers it is possible to have 100% CPU utilization with minimal impact to another component. Finally, tasks required of modern computers often emphasize quite different components, so that resolving a bottleneck for one task may not affect the performance of another.
Nvidia advertised DLSS as a key feature of the GeForce 20 series cards when they launched in September 2018. [4] At that time, the results were limited to a few video games, namely Battlefield V, [5] or Metro Exodus, because the algorithm had to be trained specifically on each game on which it was applied and the results were usually not as good as simple resolution upscaling.
In a YouTube livestream, David McAfee, CVP and GM, Ryzen CPU and Radeon Graphics AMD, was joined by Andrej Zdravkovic, SVP of GPU Technologies and Engineering and Chief Software Officer, AMD, as well as Andy Pomianowski, CVP of Silicon Design Engineering, AMD, to discuss the outstanding performance and value proposition of the Radeon RX 9000 ...
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]
The idea is having specialized processors offload time-consuming tasks from a computer's CPU, much like how a GPU performs graphics operations in the main CPU's place. The term was coined by Ageia to describe its PhysX chip. Several other technologies in the CPU-GPU spectrum have some features in common with it, although Ageia's product was the ...
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).
use a complete (or partial) hardware implementation of a video compression or decompression algorithm; it has become very common to integrate such ASICs into the chip of the GPU/CPU/SoC and therefore abundantly available; for marketing reasons companies have established brands for their ASICs, such as PureVideo (Nvidia), Unified Video Decoder ...