• DocumentCode
    2563013
  • Title

    Analysis of All to All Broadcast on multi mesh of trees using genetic algorithm

  • Author

    Rakesh, Nitin ; Nitin

  • Author_Institution
    Dept. of Comput. Sci. & Eng. & Inf. Technol., Jaypee Univ. of Inf. Technol., Waknaghat, India
  • fYear
    2009
  • fDate
    12-14 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Various communication algorithms have been proposed on a variety of network architectures. However, an efficient algorithm on an efficient architecture is always the focus point. We have proposed all to all broadcast (AAB) algorithm on multi mesh trees using parallel random access machine (PRAM), which combines the topological properties of multi-mesh and mesh of trees architecture. The algorithm is elaborated by taking eight processors in each mesh. Further, the proposed algorithm has been scaled by the genetic algorithm (GA) approach (for correctness) that passes the algorithm through functions such as fitness, crossover, mutation and evaluation. The fitness function deals with conflicts that occur during communication. Crossover and mutation look for new solutions by computing probability of crossover (pcc) and probability of mutation (pmm) that are compared by an evaluation function.
  • Keywords
    concurrency theory; genetic algorithms; mesh generation; multiprocessor interconnection networks; probability; trees (mathematics); all to all broadcast; genetic algorithm; multi mesh trees; network architectures; parallel random access machine; probability of crossover; probability of mutation; Algorithm design and analysis; Broadcasting; Computer architecture; Computer science; Genetic algorithms; Genetic mutations; Information analysis; Information technology; Network topology; Tree graphs; All-to-All Broadcast; Crossover; Genetic Algorithm; Inter and Intra Block Connectivity; Multi Mesh of Trees; Mutation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultra Modern Telecommunications & Workshops, 2009. ICUMT '09. International Conference on
  • Conference_Location
    St. Petersburg
  • Print_ISBN
    978-1-4244-3942-3
  • Electronic_ISBN
    978-1-4244-3941-6
  • Type

    conf

  • DOI
    10.1109/ICUMT.2009.5345651
  • Filename
    5345651