• DocumentCode
    2733144
  • Title

    GA Based Congestion Aware Topology Generation for Application Specific NoC

  • Author

    Choudhary, Naveen ; Gaur, M.S. ; Laxmi, V. ; Singh, Virendra

  • Author_Institution
    Dept. of Comput. Eng., Malaviya Nat. Inst. of Technol., Jaipur, India
  • fYear
    2011
  • fDate
    17-19 Jan. 2011
  • Firstpage
    93
  • Lastpage
    98
  • Abstract
    Network-on-chip (NoC) has been proposed as an alternate to wired communication frameworks of System-on-chip (SoC) design. Application specific SoC design requires custom NoC architectures, which may not be regular but are more suitable for a particular application. This paper presents a genetic algorithm for synthesis of custom NoC architectures for applications having IP cores with varying communication bandwidth requirements. The optimization objective of the technique is to improve communication load and energy distributions across the network subject to the resource constraints in such a way that the overall efficiency in terms of throughput and communication latency improves. Experimental results show that customized irregular NoC clearly outperforms the traditional regular mesh architecture in terms performance.
  • Keywords
    genetic algorithms; integrated circuit design; network synthesis; network topology; network-on-chip; GA-based congestion aware topology generation; IP cores; NoC architecture synthesis; SoC design; application specific NoC; communication bandwidth requirements; communication latency; communication load; energy distributions; genetic algorithm; mesh architecture; network-on-chip; system-on-chip design; wired communication frameworks; Core Graph; Genetic Algorithm; Irregular NoC; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Design, Test and Application (DELTA), 2011 Sixth IEEE International Symposium on
  • Conference_Location
    Queenstown
  • Print_ISBN
    978-1-4244-9357-9
  • Type

    conf

  • DOI
    10.1109/DELTA.2011.26
  • Filename
    5729547