• DocumentCode
    690378
  • Title

    Parallel Exploration of State Space with Reduced Cross Transitions Partitioning

  • Author

    Jimenez Serrano, Eleazar

  • Author_Institution
    Dept. of Automotive Sci., Kyushu Univ., Fukuoka, Japan
  • fYear
    2013
  • fDate
    14-15 Dec. 2013
  • Firstpage
    431
  • Lastpage
    436
  • Abstract
    We propose a method for conducting parallel state space exploration using grid computing. It is based on a partitioning method for a configuration of multiple hash tables with proven efficiency in reducing the number of address collisions and the amount of required memory. This paper presents the initial results of simulating the method, showing that for specific state spaces, it might be advantageous in reducing cross transitions and consequently reducing exploration time.
  • Keywords
    file organisation; grid computing; parallel processing; state-space methods; address collisions reduction; cross transitions partitioning reduction; exploration time reduction; grid computing; multiple hash tables configuration; parallel state space exploration; partitioning method; required memory reduction; Computational modeling; Grid computing; Memory management; Parallel processing; Proposals; Space exploration; Vectors; Distributed-memory; Grid computing; Hash tables; Parallel programming; Partitioning algorithm; State space;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Sciences and Applications (CSA), 2013 International Conference on
  • Conference_Location
    Wuhan
  • Type

    conf

  • DOI
    10.1109/CSA.2013.108
  • Filename
    6835635