General-purpose computing on graphics processing units (software) in the context of Shader

A graphics card (also called a video card, display card, graphics accelerator, graphics adapter, VGA card/VGA, video adapter, or display adapter GPU) is a computer expansion card that generates a feed of graphics output to a display device such as a monitor. Graphics cards are sometimes called discrete or dedicated graphics cards to emphasize their distinction to an integrated graphics processor on the motherboard or the central processing unit (CPU). A graphics processing unit (GPU) that performs the necessary computations is the main component in a graphics card, but the acronym "GPU" is sometimes also used to refer to the graphics card as a whole erroneously.

Most graphics cards are not limited to simple display output. The graphics processing unit can be used for additional processing, which reduces the load from the CPU. Additionally, computing platforms such as OpenCL and CUDA allow using graphics cards for general-purpose computing. Applications of general-purpose computing on graphics cards include AI training, cryptocurrency mining, and molecular simulation.

In computing, the Brook programming language and its implementation BrookGPU were early and influential attempts to enable general-purpose computing on graphics processing units (GPGPU). Brook, developed at Stanford University graphics group, was a compiler and runtime system for a stream programming language designed to leverage the parallelism of GPUs such as those from ATI or Nvidia.

BrookGPU compiled programs written using the Brook stream programming language, which is a variant of ANSI C. It could target OpenGL v1.3+, DirectX v9+ or AMD's Close to Metal for the computational backend and ran on both Microsoft Windows and Linux. For debugging, BrookGPU could also simulate a virtual graphics card on the CPU.

In computer graphics, a shader is a programmable operation which is applied to data as it moves through the rendering pipeline. Shaders can act on data such as vertices and primitives—to generate or morph geometry—and fragments –to calculate the values in a rendered image.

Shaders can execute a wide variety of operations and can run on different types of hardware. In modern real-time computer graphics, shaders are run on graphics processing units (GPUs) –dedicated hardware which provides highly parallel execution of programs. As rendering an image is embarrassingly parallel, fragment and pixel shaders scale well on SIMD hardware. Historically, the drive for faster rendering has produced highly-parallel processors which can in turn be used for other SIMD amenable algorithms. Such shaders executing in a compute pipeline are commonly called compute shaders.