• DocumentCode
    684253
  • Title

    Solving NoC mapping problem with improved particle swarm algorithm

  • Author

    Zhengxue Li ; Yang Liu ; Mingsong Cheng

  • Author_Institution
    Sch. of Math. Sci., Dalian Univ. of Technol., Dalian, China
  • fYear
    2013
  • fDate
    19-21 Oct. 2013
  • Firstpage
    12
  • Lastpage
    16
  • Abstract
    Network on chip (NoC) mapping problem belongs to quadratic assignment problem, and quadratic assignment problem is a classical combinatorial optimization problem which has been proved to be a NP-complete problem. In this paper, the widely used 2D-mesh as a NoC topology is studied, and the important factors influencing the performance of the system-power consumption and delay are modeled. Then the approximate optimal solution is found using the improved discrete particle swarm optimization algorithm. Simulation experiments show that very good optimal results are obtained.
  • Keywords
    approximation theory; combinatorial mathematics; computational complexity; delays; network-on-chip; particle swarm optimisation; power aware computing; quadratic programming; 2D-mesh; NP-complete problem; NoC mapping problem; approximate optimal solution; combinatorial optimization problem; delay; discrete particle swarm optimization algorithm; network on chip mapping problem; quadratic assignment problem; system-power consumption; Equations; Optimization; Quality of service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (ICACI), 2013 Sixth International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-6341-9
  • Type

    conf

  • DOI
    10.1109/ICACI.2013.6748466
  • Filename
    6748466