• DocumentCode
    503817
  • Title

    OpenMP Parallel Optimal Path Algorithm and its Performance Analysis

  • Author

    Cao, Han ; Wang, Fei ; Fang, Xin ; Tu, Hong-lei ; Shi, Jun

  • Author_Institution
    Dept. of Comput. Sci., Shaanxi Normal Univ., Xi´´an, China
  • Volume
    1
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    61
  • Lastpage
    66
  • Abstract
    With the research and application of intelligent transportation system, there is a higher requirement for solving the optimal path problem in large scale transportation networks in real time. In order to get the effective optimal path algorithms for the actual transportation networks, three optimal path algorithms are chosen to be parallelized. The parallel optimal path algorithms are then implemented based on dual-core processor and the speed-up ratio and efficiency of parallel algorithms are tested and analyzed in actual Xi´an road networks with 4525 nodes and 6616 paths. The experiment results show that the parallel algorithms devised in this paper are efficient and the speed-up ratio of the three parallel algorithms are satisfied in solving optimal path problems in large scale networks.
  • Keywords
    application program interfaces; automated highways; graph theory; multi-threading; optimisation; parallel algorithms; transportation; Dijkstra algorithm; OpenMP parallel optimal path algorithm; Xi´an road network; dual-core processor; intelligent transportation system; large scale transportation network; multithreading; performance analysis; speed-up ratio; Algorithm design and analysis; Application software; Concurrent computing; Distributed computing; Dynamic scheduling; Intelligent transportation systems; Parallel algorithms; Performance analysis; Processor scheduling; Yarn; A* algorithm; Dijkstra algorithm; multi-core; openMP; parallel algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2009. WCSE '09. WRI World Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3570-8
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.107
  • Filename
    5318935