• DocumentCode
    36592
  • Title

    Validation Techniques for Fault Emulation of SRAM-based FPGAs

  • Author

    Quinn, Heather ; Wirthlin, Michael

  • Author_Institution
    Los Alamos Nat. Lab., Los Alamos, NM, USA
  • Volume
    62
  • Issue
    4
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    1487
  • Lastpage
    1500
  • Abstract
    A variety of fault emulation systems have been created to study the effect of single-event effects (SEEs) in static random access memory (SRAM) based field-programmable gate arrays (FPGAs). These systems are useful for augmenting radiation-hardness assurance (RHA) methodologies for verifying the effectiveness for mitigation techniques; understanding error signatures and failure modes in FPGAs; and failure rate estimation. For radiation effects researchers, it is important that these systems properly emulate how SEEs manifest in FPGAs. If the fault emulation systems does not mimic the radiation environment, the system will generate erroneous data and incorrect predictions of behavior of the FPGA in a radiation environment. Validation determines whether the emulated faults are reasonable analogs to the radiation-induced faults. In this paper we present methods for validating fault emulation systems and provide several examples of validated FPGA fault emulation systems.
  • Keywords
    SRAM chips; field programmable gate arrays; integrated circuit testing; radiation hardening (electronics); FPGA; RHA methodologies; SEE; SRAM; failure rate estimation; fault emulation systems; field-programmable gate arrays; radiation effects researchers; radiation environment; radiation-hardness assurance; radiation-induced faults; single-event effects; static random access memory; Circuit faults; Emulation; Field programmable gate arrays; Hardware; Pins; Software; Testing; Emulation; fault diagnosis; field programmable gate arrays; radiation effects;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.2015.2456101
  • Filename
    7182370