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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).
PyTorch is a machine learning library based on the Torch library, [4] [5] [6] used for applications such as computer vision and natural language processing, [7] originally developed by Meta AI and now part of the Linux Foundation umbrella.
A display list, also called a command list in Direct3D 12 and a command buffer in Vulkan, is a series of graphics commands so that they may be later run when the list is executed. [1] Systems that make use of display list functionality are called retained mode systems, while systems that do not are as opposed to immediate mode systems. In ...
Torch is an open-source machine learning library, a scientific computing framework, and a scripting language based on Lua. [3] It provides LuaJIT interfaces to deep learning algorithms implemented in C. It was created by the Idiap Research Institute at EPFL. Torch development moved in 2017 to PyTorch, a port of the library to Python. [4] [5] [6]
The GPU, [3] or graphics processing unit, is the unit that allows the graphics card to function. It performs a large amount of the work given to the card. The majority of video playback on a computer is controlled by the GPU. Once again, a GPU can be either integrated or dedicated.
The main competing factor was the price of hardware and raw performance in 3D computer games, which is greatly affected by the efficient translation of API calls into GPU opcodes. The display driver and the video decoder are inherent parts of the graphics card: hardware designed to assist in the calculations necessary for the decoding of video ...
Keyboard 400–499: Monochrome display 500–599: Color/graphics display 600–699: Floppy-disk drive or adapter 700–799: Math coprocessor 900–999: Parallel printer port 1000–1099: Alternate printer adapter 1100–1299: Asynchronous communication device, adapter, or port 1300–1399: Game port 1400–1499: Color/graphics printer 1500–1599
When it was first introduced, the name was an acronym for Compute Unified Device Architecture, [3] but Nvidia later dropped the common use of the acronym and now rarely expands it. [4] 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. [5]