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Components of a GPU. A graphics processing unit (GPU) is a specialized electronic circuit initially designed for digital image processing and to accelerate computer graphics, being present either as a discrete video card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles.
PIO—Programmed Input/Output; Pixel—Picture element; PKCS—Public Key Cryptography Standards; PKI—Public Key Infrastructure; PLC—Power Line Communication; PLC—Programmable logic controller; PLD—Programmable logic device; PL/I—Programming Language One; PL/M—Programming Language for Microcomputers; PL/P—Programming Language for ...
As of 2016, OpenCL is the dominant open general-purpose GPU computing language, and is an open standard defined by the Khronos Group. [citation needed] OpenCL provides a cross-platform GPGPU platform that additionally supports data parallel compute on CPUs. OpenCL is actively supported on Intel, AMD, Nvidia, and ARM platforms.
A modern consumer graphics card: A Radeon RX 6900 XT from AMD. A graphics card (also called a video card, display card, graphics accelerator, graphics adapter, VGA card/VGA, video adapter, display adapter, or colloquially GPU) is a computer expansion card that generates a feed of graphics output to a display device such as a monitor.
December 2009) (Learn how and when to remove this message) In computer graphics , the render output unit ( ROP ) or raster operations pipeline is a hardware component in modern graphics processing units (GPUs) and one of the final steps in the rendering process of modern graphics cards .
The following professional associations are dedicated to the promulgation of research, development and practice relating to the use of new technologies in language learning and teaching. Most of them organise conferences and publish journals on CALL. [96] APACALL: The Asia-Pacific Association for Computer-Assisted Language Learning. APACALL ...
The machine learning runtime used to execute models on the Edge TPU is based on TensorFlow Lite. [46] The Edge TPU is only capable of accelerating forward-pass operations, which means it's primarily useful for performing inferences (although it is possible to perform lightweight transfer learning on the Edge TPU [47]). The Edge TPU also only ...
JAX is a machine learning framework for transforming numerical functions. [2] [3] [4] It is described as bringing together a modified version of autograd (automatic obtaining of the gradient function through differentiation of a function) and OpenXLA's XLA (Accelerated Linear Algebra).