• DocumentCode
    2583632
  • Title

    Low power BIST based on scan partitioning

  • Author

    Lee, Jinkyu ; Touba, Nur A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
  • fYear
    2005
  • fDate
    3-5 Oct. 2005
  • Firstpage
    33
  • Lastpage
    41
  • Abstract
    A built-in self-test (BIST) scheme is presented which both reduces overhead for detecting random-pattern-resistant (r.p.r.) faults as well as reduces power consumption during test. 3-valued weights are employed to detect the r.p.r. faults. The key idea is to use a new scan partitioning technique and decoding methodology that exploits correlations in the weight sets to greatly reduce the hardware overhead for multiple weight sets and reduce the number of transitions during scan shifting. The proposed scheme is simple to implement and only constrains the partitioning of scan elements into scan chains and not the scan order thereby having minimal impact on routing. Consequently, the proposed scheme can be easily implemented in standard design flows used in industry. Experiments indicate the scheme can achieve 100% fault coverage and 55% to 59% scan power reduction with relatively small hardware overhead.
  • Keywords
    automatic test pattern generation; boundary scan testing; built-in self test; fault diagnosis; integrated circuit testing; logic testing; network routing; random number generation; decoding methodology; fault detection; hardware overhead reduction; low power built-in self-test scheme; power consumption reduction; random-pattern-resistant faults; scan partitioning technique; scan power reduction; scan shifting; small hardware overhead; weight set correlation; Automatic testing; Built-in self-test; Decoding; Electrical fault detection; Fault detection; Hardware; Power dissipation; Power engineering computing; Routing; Test pattern generators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Defect and Fault Tolerance in VLSI Systems, 2005. DFT 2005. 20th IEEE International Symposium on
  • ISSN
    1550-5774
  • Print_ISBN
    0-7695-2464-8
  • Type

    conf

  • DOI
    10.1109/DFTVS.2005.43
  • Filename
    1544501