• DocumentCode
    2952103
  • Title

    Graph Reduction Algorithm for Hardware/Software Partitioning

  • Author

    Li, Hui ; Liu, Wenju ; Han, Honglei

  • Author_Institution
    Comput. Sci. & Software Instn., Tianjin Polytech. Univ., Tianjin, China
  • fYear
    2011
  • fDate
    30-31 July 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    One of the most crucial steps in the design of embedded systems is Hardware/Software(HW/SW) partitioning, that is, deciding which components of the system should be implemented in hardware and which ones in software. Most formulations of the HW/SW partitioning problem are NP-hard, so most of the research efforts on HW/SW partitioning has focused on developing efficient heuristic. In this paper , we did not committed to finding effective methods of HW/SW partitioning, but focusing on the pre-process for the task graph before the HW/SW partitioning, and to find all the sub-graphs which meet the requirements. Simplification of the original task graph, so that the partitioning will be more accurately and faster, and it also can save the hardware area effectively.
  • Keywords
    computational complexity; embedded systems; graph theory; hardware-software codesign; NP hard; embedded systems; graph reduction algorithm; hardware-software partitioning; task graph; Algorithm design and analysis; Hardware; Heuristic algorithms; Partitioning algorithms; Signal processing algorithms; Software; Software algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems Engineering (CASE), 2011 International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4577-0859-6
  • Type

    conf

  • DOI
    10.1109/ICCASE.2011.5997561
  • Filename
    5997561