• DocumentCode
    565137
  • Title

    Self-aware computing in the Angstrom processor

  • Author

    Hoffmann, Henry ; Holt, Jim ; Kurian, George ; Lau, Eric ; Maggio, Martina ; Miller, Jason E. ; Neuman, Sabrina M. ; Sinangil, Mahmut ; Sinangil, Yildiz ; Agarwal, Anant ; Chandrakasan, Anantha P. ; Devadas, Srinivas

  • fYear
    2012
  • fDate
    3-7 June 2012
  • Firstpage
    259
  • Lastpage
    264
  • Abstract
    Addressing the challenges of extreme scale computing requires holistic design of new programming models and systems that support those models. This paper discusses the Angstrom processor, which is designed to support a new Self-aware Computing (SEEC) model. In SEEC, applications explicitly state goals, while other systems components provide actions that the SEEC runtime system can use to meet those goals. Angstrom supports this model by exposing sensors and adaptations that traditionally would be managed independently by hardware. This exposure allows SEEC to coordinate hardware actions with actions specified by other parts of the system, and allows the SEEC runtime system to meet application goals while reducing costs (e.g., power consumption).
  • Keywords
    multiprocessing systems; programming; Angstrom processor; SEEC runtime system; cost reduction; extreme scale computing; holistic design; power consumption; programming model; self-aware computing; sensor; Adaptation models; Adaptive systems; Benchmark testing; Computational modeling; Hardware; Heart beat; Runtime; Adaptive Systems; Self-aware Computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference (DAC), 2012 49th ACM/EDAC/IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    0738-100X
  • Print_ISBN
    978-1-4503-1199-1
  • Type

    conf

  • Filename
    6241519