• DocumentCode
    160462
  • Title

    Testing, diagnosis and repair methods for NBTI-induced SRAM faults

  • Author

    Bao Liu ; Chiung-Hung Chen

  • Author_Institution
    ECE Dept., Univ. of Texas at San Antonio, San Antonio, TX, USA
  • fYear
    2014
  • fDate
    28-30 May 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    NBTI is a major SRAM aging mechanism, leading to reduced read and hold static noise margins, and increased soft error rate. The existing techniques including guard banding, on-chip sensor-based detection, and recovery. In this paper, we propose a group of testing, diagnosis, and repair methods for NBTI-induced memory faults. We observe that NBTI leads to SRAM read errors rather than write errors. We propose to identify NBTI-induced memory read errors based on the existing ECC circuitry, differentiate them with soft errors by correction and double checking, and keep them idle for recovery. We further propose an predictive test method for NBTI-induced memory faults by adaptive body biasing. We achieve an adaptive body biasing formula to simulate the NBTI effect. Our experimental results validate the proposed methods and show that they cost little silicon area and power consumption.
  • Keywords
    SRAM chips; ageing; fault diagnosis; integrated circuit reliability; integrated circuit testing; negative bias temperature instability; radiation hardening (electronics); ECC circuitry; NBTI effect simulation; NBTI-induced SRAM fault diagnosis; NBTI-induced SRAM fault repair methods; NBTI-induced SRAM fault testing; NBTI-induced memory read errors; SRAM aging mechanism; SRAM read errors; SRAM write errors; adaptive body biasing formula; correction checking; double checking; guard banding techniques; on-chip sensor-based detection; power consumption; read-hold static noise margins; recovery techniques; soft error rate; Circuit faults; MOSFET; SRAM cells; Sensors; Testing; Threshold voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IC Design & Technology (ICICDT), 2014 IEEE International Conference on
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/ICICDT.2014.6838608
  • Filename
    6838608