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Wallpaper Engine is an application for Windows with a companion app on Android [3] which allows users to use and create animated and interactive wallpapers, similar to the defunct Windows DreamScene. Wallpapers are shared through the Steam Workshop functionality as user-created downloadable content .
TechPowerUp GPU-Z (or just GPU-Z) is a lightweight utility designed to provide information about video cards and GPUs. [2] The program displays the specifications of Graphics Processing Unit (often shortened to GPU) and its memory; also displays temperature, core frequency, memory frequency, GPU load and fan speeds.
Wallpaper Engine is a chargeable software that replaces the desktop background with a wide selection of default and user made animated backgrounds. while also providing a complete tool set for user generated wallpapers. The software features its own Rendering engine which enables 2D video, 3D models, and even Interactive elements that respond ...
This means that a GPU can speed up any rendering algorithm that can be split into subtasks in this way, in contrast to 1990s 3D accelerators which were only designed to speed up specific rasterization algorithms and simple shading and lighting effects (although tricks could be used to perform more general computations). [16]: ch3 [89]
API multi-GPU instead allows the API to intelligently split the workload among two or more completely different GPUs. [40] For example, integrated GPUs included on the CPU can be used in conjunction with a high-end dedicated GPU for a slight performance boost. On March 7, 2018, Vulkan 1.1 was released by the Khronos Group. [41]
Because the GPU has fast and local hardware access to every pixel or other picture element in an image, it can analyze and average it (for the first example) or apply a Sobel edge filter or other convolution filter (for the second) with much greater speed than a CPU, which typically must access slower random-access memory copies of the graphic ...
CUDA is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements for the execution of compute kernels. [6] In addition to drivers and runtime kernels, the CUDA platform includes compilers, libraries and developer tools to help programmers accelerate their applications.
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). [2] [3]