• DocumentCode
    2714080
  • Title

    Scrambling and Data Inversion Techniques for Yield Enhancement of NROM-Based ROMs

  • Author

    Lu, Shyue-Kung ; Li, Tsu-Lin ; Ning, Pony

  • fYear
    2012
  • fDate
    19-22 Nov. 2012
  • Firstpage
    308
  • Lastpage
    313
  • Abstract
    NROM is one of the emerging non-volatile-memory technologies, which provides very high data density, low fabrication cost, and better value stability. It is also promising for replacing current floating-gate-based non-volatile memory such as flash memory. In order to raise the fabrication yield and enhance its reliability, a novel test and repair flow is proposed in this paper. Instead of the traditional fault replacement techniques, fault masking techniques are also exploited by considering the logical effects of physical defects when the customer´s code is to be programmed. Two techniques are exploited to maximize the possibilities of fault masking-address scrambling and data inversion. Graph models are also proposed for modeling these methods. The proposed methods can be easily incorporated into the ROM BIST architectures. According to experimental results, the fabrication yield can be improved significantly. Moreover, the incurred hardware overhead is almost negligible.
  • Keywords
    built-in self test; fault diagnosis; graph theory; integrated circuit reliability; integrated circuit testing; integrated circuit yield; random-access storage; NROM-based ROM; ROM BIST architecture; data density; data inversion; fabrication cost; fabrication yield; fault masking; graph model; nonvolatile-memory technology; reliability; repair flow; scrambling; test; value stability; yield enhancement; Arrays; Circuit faults; Fabrication; Hardware; Maintenance engineering; Random access memory; Read only memory; NROM; Reliability; Repair; Testing; Yield;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Test Symposium (ATS), 2012 IEEE 21st Asian
  • Conference_Location
    Niigata
  • ISSN
    1081-7735
  • Print_ISBN
    978-1-4673-4555-2
  • Electronic_ISBN
    1081-7735
  • Type

    conf

  • DOI
    10.1109/ATS.2012.36
  • Filename
    6394221