• DocumentCode
    579905
  • Title

    Automated Resource-Oriented Fault Injection to Estimate the SEU-induced Error in SRAM-based FPGA

  • Author

    Xiong, Pan ; Jiaming, Zhang ; Mingda, Zhu

  • Author_Institution
    Inst. of Opt. & Electron., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
  • fYear
    2012
  • fDate
    3-5 Nov. 2012
  • Firstpage
    445
  • Lastpage
    449
  • Abstract
    Single-event upsets (SEUs) occur frequently since reconfigurable SRAM-based FPGAs are highly susceptible to radiation in space applications. The current fault injection techniques simulated SEU faults are used to evaluate the reliability of whole system but not a part. In this paper, a new resource-oriented method is proposed to inject faults into specific FPGA resource, especially routing source. We decode the relationship between a programmable resource and corresponding control bit creatively which is stored in a database. After that, an SEU fault list is established according to the resource type including critical logic nodes and paths, which could destroy the circuit topological structure. The control experiment is carried to validate resource-oriented approach and the result can be used to represent the reliability of the system and calculate failure rate of specific resource.
  • Keywords
    SRAM chips; circuit reliability; fault tolerance; field programmable gate arrays; network topology; SEU-induced error estimation; SRAM-based FPGA; automated resource-oriented fault injection; circuit topological structure; logic nodes; logic paths; programmable resource; routing source; single-event upsets; space applications; system reliability; Bridge circuits; Circuit faults; Databases; Field programmable gate arrays; Reliability; Routing; Table lookup; SEU; SRAM-based FPGA; fault injection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on
  • Conference_Location
    Mathura
  • Print_ISBN
    978-1-4673-2981-1
  • Type

    conf

  • DOI
    10.1109/CICN.2012.54
  • Filename
    6375152