• DocumentCode
    1804990
  • Title

    From Reconfigurable Architectures to Self-Adaptive Autonomic Systems

  • Author

    Santambrogio, Marco D.

  • Author_Institution
    Comput. Sci. & Artificial Intell. Lab., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • Volume
    2
  • fYear
    2009
  • fDate
    29-31 Aug. 2009
  • Firstpage
    926
  • Lastpage
    931
  • Abstract
    Systems on a chip (SoC) can draw various benefits such as adaptability and efficient acceleration of compute-intensive tasks from the inclusion of reconfigurable hardware as a system component. Dynamic reconfiguration capabilities of current reconfigurable devices create an additional dimension in the temporal domain. During the design space exploration phase, overheads associated with reconfiguration and hardware/software interfacing need to be evaluated carefully in order to harvest the full potential of dynamic reconfiguration. In order to overcome the limits deriving by the increasing complexity and the associated workload to maintain such complex infrastructure, one possibility is to adopt self-adaptive and autonomic computing systems. A self-adaptive and autonomic computing system is a system able to configure, heal, optimize and protect itself without the need for human intervention.
  • Keywords
    logic design; reconfigurable architectures; system-on-chip; SoC; autonomic computing system; reconfigurable architecture; self-adaptive system; system-on-chip; Acceleration; Artificial intelligence; Computer architecture; Computer science; Costs; Hardware; Laboratories; Reconfigurable architectures; Software performance; Space exploration; Codesign; Performance; Reconfiguration; Runtime Adaptability; Self-Adaptive Systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering, 2009. CSE '09. International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4244-5334-4
  • Electronic_ISBN
    978-0-7695-3823-5
  • Type

    conf

  • DOI
    10.1109/CSE.2009.490
  • Filename
    5283325