• DocumentCode
    2516552
  • Title

    Efficient Coupling of Parallel Visualization and Simulations on Tens of Thousands of Cores

  • Author

    Xiao, Li ; Cao, Xiaolin ; Cao, Yi ; Ai, Zhiwei ; Xu, Pingjun

  • Author_Institution
    High Performance Comput. Center, Inst. of Appl. Phys. & Comput. Math., Beijing, China
  • fYear
    2011
  • fDate
    4-5 Nov. 2011
  • Firstpage
    123
  • Lastpage
    129
  • Abstract
    The scale of some datasets generated by simulations on tens of thousands of cores are gigabyte or larger per output step. It is imperative that efficient coupling of these simulations and parallel visualization. Therefore, a patch-based parallel I/O strategy has been designed and implemented in JASMIN. These programs reconstructed or developed on JASMIN can write plotting data in many files. These datasets in files can be read directly by Visit software with low I/O overheads. Finally, four large-scale datasets generated have been visualized efficiently on 72 cores by using Visit software. These make it possible to analyze and understand these datasets in a timely fashion.
  • Keywords
    data visualisation; digital simulation; input-output programs; multiprocessing systems; parallel processing; JASMIN; gigabyte cores; parallel I/O strategy; parallel simulation; parallel visualization; Algorithm design and analysis; Data models; Data visualization; File systems; Organizations; Simulation; large-scale simulation; parallel visualization; patch-based parallel I/O strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Reality and Visualization (ICVRV), 2011 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4577-2156-4
  • Type

    conf

  • DOI
    10.1109/ICVRV.2011.59
  • Filename
    6092702