Graphics Processing Unit

Graphics Processing Unit

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A Graphics Processing Unit (GPU) is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. GPUs are used in embedded systems, mobile phones, personal computers, workstations, and game consoles.

While a CPU (Central Processing Unit) is designed for general-purpose computing tasks, a GPU is designed for data-parallelism, executing the same operation on large blocks of data simultaneously, making it excellent at tasks like rendering graphics, image processing, and machine learning.

GPUs consist of hundreds or even thousands of cores, allowing them to perform many operations simultaneously. This parallel structure makes GPUs exceptionally good at tasks that can be broken down into many smaller ones and processed at the same time.

In addition to rendering graphics for games and other applications, GPUs are increasingly used for scientific computing, big data analysis, artificial intelligence, and machine learning. This use of GPUs, known as GPGPU (General-Purpose computing on Graphics Processing Units), takes advantage of the GPU’s parallel processing power to perform computations more quickly than a traditional CPU for suitable tasks.

As of my knowledge cutoff in September 2021, prominent manufacturers of GPUs include Nvidia, AMD, and Intel. In addition, some companies, like Apple and Qualcomm, design their own GPUs for use in their devices.

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