• DocumentCode
    2852656
  • Title

    Diagnosis for MRAM write disturbance fault

  • Author

    Su, Chin-Lung ; Tsai, Chih-Wea ; Wu, Cheng-Wen ; Chen, Ji-Jan ; Wu, Wen-Ching ; Hung, Chien-Chung ; Kao, Ming-Jer

  • Author_Institution
    Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu
  • fYear
    2007
  • fDate
    21-26 Oct. 2007
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    To help improve quality and yield of magnetic random access memory (MRAM), we propose an adaptive diagnosis algorithm (ADA) that can efficiently identify the write disturbance fault (WDF) for MRAM. The proposed test algorithm is a March-based one, i.e., it has linear time complexity and can easily be implemented with built-in self-test (BIST). However, the proposed test method can evaluate the process stability and uniformity using logical test method. We also develop a BIST circuit that supports the proposed WDF diagnosis test method. We propose the BIST scheme based on the decision write mechanism of the toggle MRAM to reduce total test time. A 1 Mb toggle MRAM prototype chip with the proposed BIST circuit has been designed and fabricated using a special 0.15 mum CMOS technology. The BIST circuit overhead is only about 0.04% with respect to the 1 Mb MRAM. The test time is reduced by about 30% as compared with the test method without using the decision write mechanism.
  • Keywords
    CMOS memory circuits; built-in self test; integrated circuit testing; magnetic semiconductors; random-access storage; CMOS technology; MRAM write disturbance fault; adaptive diagnosis algorithm; built-in self-test; linear time complexity; logical test; magnetic random access memory; memory size 1 MByte; size 0.15 mum; Automatic testing; Built-in self-test; CMOS technology; Circuit faults; Circuit stability; Circuit testing; Fault diagnosis; Logic testing; Prototypes; Random access memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Test Conference, 2007. ITC 2007. IEEE International
  • Conference_Location
    Santa Clara, CA
  • ISSN
    1089-3539
  • Print_ISBN
    978-1-4244-1127-6
  • Electronic_ISBN
    1089-3539
  • Type

    conf

  • DOI
    10.1109/TEST.2007.4437568
  • Filename
    4437568