• DocumentCode
    24268
  • Title

    Optimization Scheme to Minimize Reference Resistance Distribution of Spin-Transfer-Torque MRAM

  • Author

    Kejie Huang ; Ning Ning ; Yong Lian

  • Author_Institution
    Data Storage Inst., Agency for Sci., Technol. & Res., Singapore, Singapore
  • Volume
    22
  • Issue
    5
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    1179
  • Lastpage
    1182
  • Abstract
    Spin-transfer-torque magnetoresistive random access memory (STT-MRAM) is an emerging type of nonvolatile memory with compelling advantages in endurability, scalability, speed, and energy consumption. As the process technology shrinks, STT-MRAM has limited sensing margin due to the decrease in supply voltage and increase in process variation. Furthermore, the relatively smaller resistance difference of two states in STT-MRAM poses challenges for its read/write circuit design to maintain an acceptable sensing margin. The proposed reference circuits optimization scheme solves the reference resistance distribution issue to maximize the sensing margin and minimize the read disturbance, with low power consumption. Simulation results show that the optimization scheme is able to significantly improve the read reliability with the presence of one or few cases of reference cell failure, thus it eliminates the requirement of additional circuits for failure detection of reference cell or referencing to neighboring blocks.
  • Keywords
    MRAM devices; optimisation; reference circuits; reliability; low power consumption; nonvolatile memory; optimization scheme; read disturbance; read reliability; reference circuits optimization scheme; reference resistance distribution; sensing margin; spin-transfer-torque MRAM; Reference cell resistance distribution; sensing margin; spin-transfer-torque (STT); spin-transfer-torque (STT).;
  • fLanguage
    English
  • Journal_Title
    Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-8210
  • Type

    jour

  • DOI
    10.1109/TVLSI.2013.2260365
  • Filename
    6553207