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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).
The SIMT execution model has been implemented on several GPUs and is relevant for general-purpose computing on graphics processing units (GPGPU), e.g. some supercomputers combine CPUs with GPUs. The processors, say a number p of them, seem to execute many more than p tasks.
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.
A GPU cluster is a computer cluster in which each node is equipped with a graphics processing unit (GPU). By harnessing the computational power of modern GPUs via general-purpose computing on graphics processing units (GPGPU), very fast calculations can be performed with a GPU cluster. Titan, the first supercomputer to use GPUs
The first GPGPU software stack from ATI/AMD was Close to Metal, which became Stream.. ROCm was launched around 2016 [5] with the Boltzmann Initiative. [6] ROCm stack builds upon previous AMD GPU stacks; some tools trace back to GPUOpen and others to the Heterogeneous System Architecture (HSA).
A like for like comparison between desktop CPUs and GPGPUs is problematic because of algorithmic & structural differences. For example, a 2.66 GHz Intel Core 2 Duo can perform a maximum of 25 GFLOPs (25 billion single-precision floating-point operations per second) if optimally using SSE and streaming memory access so the prefetcher works perfectly.
GPU virtualization refers to technologies that allow the use of a GPU to accelerate graphics or GPGPU applications running on a virtual machine. GPU virtualization is used in various applications such as desktop virtualization , [ 1 ] cloud gaming [ 2 ] and computational science (e.g. hydrodynamics simulations).
0.5 1 57.7 128 6.2 25.0 601.34 Unknown 106 $129 GeForce GTX 460 SE November 15, 2010 GF104-225-A1 1950 332 650 1300 3400 6 288:48:32 1 108.8 256 7.8 31.2 748.8 Unknown 150 $160 GeForce GTX 460 October 11, 2010 GF104 7 336:56:32 1 108.8 9.1 36.4 873.6 Unknown OEM July 12, 2010 GF104-300-KB-A1 675 1350 3600 336:56:24 0.75 86.4 192 9.4 37.8
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