enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. General-purpose computing on graphics processing units

    en.wikipedia.org/wiki/General-purpose_computing...

    Given sufficient graphics processing power even graphics programmers would like to use better formats, such as floating point data formats, to obtain effects such as high-dynamic-range imaging. Many GPGPU applications require floating point accuracy, which came with video cards conforming to the DirectX 9 specification.

  3. Single instruction, multiple threads - Wikipedia

    en.wikipedia.org/wiki/Single_instruction...

    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.

  4. GPU cluster - Wikipedia

    en.wikipedia.org/wiki/GPU_cluster

    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

  5. ROCm - Wikipedia

    en.wikipedia.org/wiki/ROCm

    ROCm [3] is an Advanced Micro Devices (AMD) software stack for graphics processing unit (GPU) programming. ROCm spans several domains: general-purpose computing on graphics processing units (GPGPU), high performance computing (HPC), heterogeneous computing.

  6. BrookGPU - Wikipedia

    en.wikipedia.org/wiki/BrookGPU

    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). [ 1 ] [ 2 ] Brook, developed at Stanford University graphics group, was a compiler and runtime implementation of a stream programming language targeting modern ...

  7. Graphics Core Next - Wikipedia

    en.wikipedia.org/wiki/Graphics_Core_Next

    As of July 2017, the Graphics Core Next instruction set has seen five iterations. The differences between the first four generations are rather minimal, but the fifth-generation GCN architecture features heavily modified stream processors to improve performance and support the simultaneous processing of two lower-precision numbers in place of a single higher-precision number.

  8. Pascal (microarchitecture) - Wikipedia

    en.wikipedia.org/wiki/Pascal_(microarchitecture)

    Painting of Blaise Pascal, eponym of architecture. Pascal is the codename for a GPU microarchitecture developed by Nvidia, as the successor to the Maxwell architecture. The architecture was first introduced in April 2016 with the release of the Tesla P100 (GP100) on April 5, 2016, and is primarily used in the GeForce 10 series, starting with the GeForce GTX 1080 and GTX 1070 (both using the ...

  9. Multidimensional DSP with GPU acceleration - Wikipedia

    en.wikipedia.org/wiki/Multidimensional_DSP_with...

    That is, an M-D DTFT the complexity of GPGPU can be computed on a GPU with a complexity of Θ(n 2). While some GPGPUs are also equipped with hardware FFT accelerators internally, this implementation might be also optimized by invoking the FFT APIs or libraries provided by GPU manufacture.