• DocumentCode
    3048512
  • Title

    Run time mapping of adaptive applications onto homogeneous NoC-based reconfigurable architectures

  • Author

    Wildermann, Stefan ; Ziermann, Tobias ; Teich, Jürgen

  • Author_Institution
    Univ. of Erlangen-Nuremberg, Nuremberg, Germany
  • fYear
    2009
  • fDate
    9-11 Dec. 2009
  • Firstpage
    514
  • Lastpage
    517
  • Abstract
    Tile-based NoC architectures have emerged as promising field-programmable hardware architectures which provide arrays of programmable processing units to support run time adaptation. However, efficient real-time support is required for executing adaptive applications which offline design approaches may not provide. In this paper, running dynamic master/slave applications on homogeneous NoC architectures is investigated. Such applications have the characteristic that their program structure may be adapted at run time by inserting or removing tasks to react to changing requirements that are not known a priori. A heuristic is presented for an energy-and performance-aware assignment of dynamically created tasks to the processing units. The provided experimental results give evidence of the benefits of the proposed methods for synthetic test-cases as well as an adaptive image processing application.
  • Keywords
    field programmable gate arrays; network-on-chip; reconfigurable architectures; adaptive image processing application; dynamic master-slave applications; field-programmable hardware architectures; program structure; programmable processing array units; reconfigurable architectures; run time mapping; tile-based NoC architectures; Computer architecture; Embedded system; Energy consumption; Hardware; Image processing; Master-slave; Network-on-a-chip; Reconfigurable architectures; Signal processing algorithms; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Field-Programmable Technology, 2009. FPT 2009. International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4244-4375-8
  • Electronic_ISBN
    978-1-4244-4377-2
  • Type

    conf

  • DOI
    10.1109/FPT.2009.5377637
  • Filename
    5377637