• DocumentCode
    2399117
  • Title

    Community Structure Discovery algorithm on GPU with CUDA

  • Author

    Li, Peng

  • Author_Institution
    Dept. of Inf., Linyi Normal Univ., Linyi, China
  • fYear
    2010
  • fDate
    26-28 Oct. 2010
  • Firstpage
    1136
  • Lastpage
    1139
  • Abstract
    The automatic search and community discovery in large and complex network has important practical application. It is difficult to be tradeoff in computing speed and clustering exactness. To improve clustering exactness have to decrease the time complexity. In this paper a novel single instruction Multiple Data architecture processors based on Newman algorithm is proposed. The simulation results show that the method works well.
  • Keywords
    computational complexity; computer graphic equipment; coprocessors; CUDA; GPU; Newman algorithm; clustering exactness; community structure discovery algorithm; complex network; data architecture processors; time complexity; Algorithm design and analysis; Artificial neural networks; Communities; Graphics processing unit; Community discovery; Community structure; Complex Network; GPGPU;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Broadband Network and Multimedia Technology (IC-BNMT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6769-3
  • Type

    conf

  • DOI
    10.1109/ICBNMT.2010.5705267
  • Filename
    5705267