• DocumentCode
    3242302
  • Title

    Intelligent Merging Online Task Placement Algorithm for Partial Reconfigurable Systems

  • Author

    Marconi, Thomas ; Lu, Yi ; Bertels, Koen ; Gaydadjiev, Georgi

  • Author_Institution
    Comput. Eng. Lab., Tech. Univ. Delft, Delft
  • fYear
    2008
  • fDate
    10-14 March 2008
  • Firstpage
    1346
  • Lastpage
    1351
  • Abstract
    Speed and placement quality are two very important attributes of a good online placement algorithm, because the time taken by the algorithm is considered as an overhead to the application overall execution time. To solve this problem, we propose three techniques: Merging Only if Needed (MON), Partial Merging (PM), and Direct Combine (DC). Our IM (intelligent merging) algorithm uses dynamically these three techniques to exploit their specific advantages. IM outperforms Bazargan´s algorithm as it has placement quality within 0.89% but is 1.72 times faster.
  • Keywords
    merging; reconfigurable architectures; direct combine; intelligent merging online task placement algorithm; merging only if needed; partial merging; partial reconfigurable systems; Application software; Communication channels; Delay; Field programmable gate arrays; Heuristic algorithms; Laboratories; Merging; Monitoring; Partitioning algorithms; Proposals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design, Automation and Test in Europe, 2008. DATE '08
  • Conference_Location
    Munich
  • Print_ISBN
    978-3-9810801-3-1
  • Electronic_ISBN
    978-3-9810801-4-8
  • Type

    conf

  • DOI
    10.1109/DATE.2008.4484866
  • Filename
    4484866