• DocumentCode
    1756057
  • Title

    Application Mapping Onto Mesh-Based Network-on-Chip Using Discrete Particle Swarm Optimization

  • Author

    Sahu, P.K. ; Shah, Tejal ; Manna, Kanchan ; Chattopadhyay, Subrata

  • Author_Institution
    Dept. of Electron. & Electr. Commun. Eng., Indian Inst. of Technol. Kharagpur, Kharagpur, India
  • Volume
    22
  • Issue
    2
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    300
  • Lastpage
    312
  • Abstract
    This paper presents a discrete particle swarm optimization (PSO)-based strategy to map applications on both 2-D and 3-D mesh-connected Networks-on-Chip. The basic PSO formulation has been augmented by: 1) running multiple PSOs and 2) deterministically generating a part of the initial population for PSO. The mapping results, in terms of the overall communication metric, have been compared with well-known techniques reported in the literature and also with exact methods built around integer linear programming (ILP). Our PSO-based results are superior to those from reported techniques. For smaller benchmarks, the results obtained are same as those corresponding to the ILP formulation, establishing the quality of the solution strategy.
  • Keywords
    integer programming; linear programming; network-on-chip; particle swarm optimisation; 2D mesh connected networks-on-chip; 3D mesh connected networks-on-chip; ILP; application mapping; discrete PSO strategy; discrete particle swarm optimization; integer linear programming; Bandwidth; Complexity theory; Convergence; Particle swarm optimization; Sociology; Statistics; Topology; Application mapping; discrete particle swarm optimization (PSO); mesh topology; network-on-chip (NoC);
  • fLanguage
    English
  • Journal_Title
    Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-8210
  • Type

    jour

  • DOI
    10.1109/TVLSI.2013.2240708
  • Filename
    6478841