• DocumentCode
    2026417
  • Title

    Cph CT Toolbox: A performance evaluation

  • Author

    Bardino, Jonas ; Rehr, Martin ; Vinter, Brian

  • Author_Institution
    Niels Bohr Inst., Univ. of Copenhagen, Copenhagen, Denmark
  • fYear
    2015
  • fDate
    20-24 July 2015
  • Firstpage
    35
  • Lastpage
    46
  • Abstract
    With the first version of the Cph CT Toolbox released and introduced, we turn to intensively evaluating the performance of the FDK and Katsevich reconstruction implementations in the second major release. The evaluation focuses on comparisons between different hardware platforms from the two major GPU compute vendors, AMD and NVIDIA, using our updated CUDA and new OpenCL implementations. Such a performance comparison is in itself interesting in a narrow CT scanning and reconstruction perspective, but it also sheds some light on the performance of those AMD and NVIDIA platforms and GPU technologies: something of general interest to anyone building or considering GPU solutions for their scientific calculations. Results from the best system reveals the chosen streaming strategy to scale linearly up to problem sizes one order of magnitude larger than the available GPU memory, and with only a minor scaling decrease when increasing the problem size further to the next order of magnitude.
  • Keywords
    computerised tomography; graphics processing units; image reconstruction; parallel architectures; performance evaluation; AMD; CUDA; Cph CT Toolbox; FDK reconstruction; GPU compute vendors; Katsevich reconstruction; NVIDIA; OpenCL; computed tomography reconstruction; performance evaluation; Benchmark testing; Graphics processing units; Kernel; Memory management; Optimization; Performance evaluation; Scalability; Computed Tomography; GPU Performance; PyCUDA; PyOpenCL; Reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing & Simulation (HPCS), 2015 International Conference on
  • Conference_Location
    Amsterdam
  • Print_ISBN
    978-1-4673-7812-3
  • Type

    conf

  • DOI
    10.1109/HPCSim.2015.7237019
  • Filename
    7237019