• DocumentCode
    1963031
  • Title

    A new hierarchical genetic algorithm for low-power network on chip design

  • Author

    Qi, Jinqing ; Zhao, Hanqing ; Wang, Jing ; Li, Zhengxue

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Dalian Univ. of Technol., Dalian, China
  • fYear
    2010
  • fDate
    13-15 Aug. 2010
  • Firstpage
    159
  • Lastpage
    162
  • Abstract
    A new hierarchical genetic algorithm for low-power network on chip (NoC) design is proposed in this paper. As 2D-mesh is a widely used NoC topology, this paper studies the optimization of mapping IP (intellectual property) cores onto regular and irregular 2D-mesh network while minimizing communication power consumption. Experimental results show that significant energy savings can be achieved. For instance, for a given application, up to 39% energy savings have been observed.
  • Keywords
    genetic algorithms; integrated circuit design; low-power electronics; network-on-chip; 2D-mesh; NoC topology; communication power consumption; genetic algorithm; intellectual property; low-power network on chip design; Convergence; IP networks; Next generation networking; Pediatrics; Power demand; System-on-a-chip; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2010 International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-7047-1
  • Type

    conf

  • DOI
    10.1109/ICICIP.2010.5565289
  • Filename
    5565289