• DocumentCode
    2997229
  • Title

    Study of an Automated Precise SEU Fault Injection Technique

  • Author

    Jing, Zhou ; Zengrong, Liu ; Lei, Chen ; Shuo, Wang ; Zhiping, Wen ; Lishuai, Wu ; Xun, Chen

  • Author_Institution
    FPGA Dept., Beijing Microelectron. Technol. Inst., Beijing, China
  • fYear
    2012
  • fDate
    21-25 May 2012
  • Firstpage
    277
  • Lastpage
    281
  • Abstract
    SRAM-based FPGAs are susceptible to SEUs. To emulate the effects of SEUs, a variety of fault injection techniques have been studied. As FPGA logic density continues to increase, injecting faults into full bit stream is very time consuming. To further study the SEU effects and the mitigation techniques, an advanced precise SEU fault injection technique is studied in this paper. With this technique, a novel system named automated precise fault injection system (APFIS) is made to inject faults into certain resource of the circuit, instead into the whole bit stream. In this paper, this system will be proved to be faster and more efficient by the success of injecting faults into two sets of designs. Using this system will encourage the utilization of FPGAs for space-based applications.
  • Keywords
    SRAM chips; fault diagnosis; field programmable gate arrays; radiation hardening (electronics); APFIS; FPGA logic density; SRAM-based FPGA; automated precise SEU fault injection technique; fault injection techniques; field programmable gate array; mitigation techniques; single event upsets; Circuit faults; Field programmable gate arrays; Flip-flops; Indexes; Random access memory; Single event upset; Table lookup; Field programmable gate array (FPGA); configuration addressing; fault injection; single event upset (SEU);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2012 IEEE 26th International
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-0974-5
  • Type

    conf

  • DOI
    10.1109/IPDPSW.2012.32
  • Filename
    6270651