• DocumentCode
    1857118
  • Title

    LRF Algorithm Parallel Computing Based on GPU

  • Author

    Huang, Lican ; Wang, Gaoxuan ; Huang, Yinxiu ; Wang, Ren ; Zhang, Xiaocen

  • Author_Institution
    Coll. of Inf. & Electron., Zhejiang Sci-Tech Univ., Hangzhou, China
  • fYear
    2011
  • fDate
    21-24 Sept. 2011
  • Firstpage
    344
  • Lastpage
    346
  • Abstract
    This paper presents parallel computing for P2P protocol LRF based on GPU. We have investigated two ways to map the LRF algorithm to the GPU. One is by using a single thread to control a peer. Another is by using a single thread to control a data block. The two ways can speed up the distributed block scheduling.
  • Keywords
    computer graphic equipment; coprocessors; parallel algorithms; peer-to-peer computing; GPU based P2P protocol LRF; LRF algorithm parallel computing; data block control; distributed block scheduling; peer control; Educational institutions; Graphics processing unit; Instruction sets; Message systems; Parallel processing; Peer to peer computing; Protocols; BitTorrent protocol; CUDA; GPU; parellel computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Distributed Computing (ICNDC), 2011 Second International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4577-0407-9
  • Type

    conf

  • DOI
    10.1109/ICNDC.2011.74
  • Filename
    6047162