• DocumentCode
    720588
  • Title

    Hamiltonian Path Strategy for Deadlock-Free and Adaptive Routing in Diametrical 2D Mesh NoCs

  • Author

    Bahrebar, Poona ; Stroobandt, Dirk

  • Author_Institution
    Dept. of Electron. & Inf. Syst. (ELIS), Ghent Univ., Ghent, Belgium
  • fYear
    2015
  • fDate
    4-7 May 2015
  • Firstpage
    1209
  • Lastpage
    1212
  • Abstract
    The overall performance of Network-on-Chip (NoC) is strongly affected by the efficiency of the on-chip routing algorithm. Among the factors associated with the design of a high-performance routing method, adaptivity is an important one. Moreover, deadlock-and live lock-freedom are necessary for a functional routing method. Despite the advantages that the diametrical mesh can bring to NoCs compared with the classical mesh topology, the literature records little research efforts to design pertinent routing methods for such networks. Using the available routing algorithms, the network performance degrades drastically not only due to the deterministic paths, but also to the deadlocks created between the packets. In this paper, we take advantage of the Hamiltonian routing strategy to adaptively route the packets through deadlock-free paths in a diametrical 2D mesh network. The simulation results demonstrate the efficiency of the proposed approach in decreasing the likelihood of congestion and smoothly distributing the traffic across the network.
  • Keywords
    network routing; network-on-chip; Hamiltonian path strategy; adaptive routing; classical mesh topology; deadlock-free routing; diametrical 2D mesh NoCs; functional routing method; high-performance routing method; live lock-freedom; network performance degradation; network-on-chip; on-chip routing algorithm; Adaptive systems; Network topology; Power demand; Routing; System recovery; System-on-chip; Topology; Hamiltonian strategy; Network-on-Chip (NoC); adaptive routing; deadlock; diametrical 2D mesh topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CCGrid.2015.112
  • Filename
    7152623