• DocumentCode
    2118595
  • Title

    Improving Network Processing Dependability with Heterogeneous Reliability Cores

  • Author

    Ungsunan, Peter D. ; Lin, Chuang ; Gai, Yi ; Kong, Xiangzhen

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing
  • fYear
    2009
  • fDate
    27-28 Feb. 2009
  • Firstpage
    479
  • Lastpage
    483
  • Abstract
    An emerging problem facing future high-performance embedded multi-core and network processors are transient faults caused by radiation, noise and other factors.These faults will likely make future multi-core processors less reliable as chip features shrink, voltages decrease, and the number of cores increase. To address this problem, we propose a systems approach of managing and allocating reliability according to software process requirements. The heterogeneous multi-core architecture proposed is based on cores with differing reliabilities. Critical and non-critical software components are segregated and matched with the higher and lower reliability cores, respectively. This method is applied to a network processing example and we show that by using heterogeneous reliability cores the overall system failure rate can be reduced significantly, while offering the same or better overall performance, power utilization and chip area as symmetric cores.
  • Keywords
    integrated circuit reliability; microprocessor chips; embedded multi-core; heterogeneous multi-core architecture; heterogeneous reliability cores; network processing dependability; network processors; software process requirements; Computer architecture; Computer network reliability; Embedded software; Hardware; Multicore processing; Power system reliability; Risk management; Software performance; Telecommunication network reliability; Voltage; dependability; heterogeneous multi-core; reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks, 2009. ICCSN '09. International Conference on
  • Conference_Location
    Macau
  • Print_ISBN
    978-0-7695-3522-7
  • Type

    conf

  • DOI
    10.1109/ICCSN.2009.147
  • Filename
    5076897