• DocumentCode
    1735239
  • Title

    An Analytical Model of Communication Networks in Multi-cluster Systems in the Presence of Non-uniform Traffic

  • Author

    Sharifi, Hojjat ; Akbari, Mohammad K. ; Javadi, Bahman

  • Author_Institution
    Comput. Eng. & Inf. Technol. Dept., Amirkabir Univ. of Technol., Tehran, Iran
  • Volume
    1
  • fYear
    2009
  • Firstpage
    79
  • Lastpage
    86
  • Abstract
    Several analytical models of interconnection networks of multi-cluster systems under uniform traffic pattern have been proposed in the literature. However, there has been hardly any work reported yet that deals with other important non-uniform traffic patterns in parallel applications. In this paper we propose a new analytical model based on fat-tree interconnection networks in the presence of traffic pattern generated by matrix-transpose permutation, which is an important communication operation in parallel applications such as matrix computation problems. The model is validated through comprehensive simulations, which demonstrated that the proposed model exhibit a good degree of accuracy for various system organizations and under different working conditions.
  • Keywords
    statistics; telecommunication network topology; telecommunication traffic; trees (mathematics); communication network; communication operation; fat tree interconnection network; matrix-transpose permutation; multicluster system; nonuniform traffic; Analytical models; Communication networks; Computational modeling; Computer networks; Distributed computing; High performance computing; Multiprocessor interconnection networks; Routing; Telecommunication traffic; Traffic control; Analytical Modeling; Heterogeneity; Latency; Matrix-transpose traffic pattern; Multi-Cluster;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering, 2009. CSE '09. International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4244-5334-4
  • Electronic_ISBN
    978-0-7695-3823-5
  • Type

    conf

  • DOI
    10.1109/CSE.2009.170
  • Filename
    5283065