• DocumentCode
    65006
  • Title

    STT-MRAM Sensing Circuit With Self-Body Biasing in Deep Submicron Technologies

  • Author

    Jisu Kim ; Kyungho Ryu ; Jung Pill Kim ; Kang, S.H. ; Seong-Ook Jung

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
  • Volume
    22
  • Issue
    7
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    1630
  • Lastpage
    1634
  • Abstract
    Conventional spin transfer torque MRAM sensing circuits suffer from a small sensing margin and a large sensing margin variation in deep submicron technologies. The small sensing margin issue becomes worse in the low-leakage process technology due to the higher threshold voltage. In this brief, the self-body biasing (self-BB) scheme is proposed to resolve the small sensing margin issue. In the self-BB scheme, the threshold voltage of load pMOS is adaptively controlled by body bias. Although leakage current ´lows through the body due to the positive junction bias voltage, it is well suppressed to less than 1% (0.3 μA) of the sensing current and ´lows only during the sensing operation. To reduce large sensing margin variation, the source degeneration scheme with the longer channel length is used for the load pMOS. The HSPICE simulation results obtained using low-leakage 45-nm model parameters show that the proposed sensing circuit achieves a probability of the read access pass yield (PRAPY Memory) of 100%, whereas the sensing circuit without BB scheme has an PRAPY Memory of 5.8% for a 32-Mb memory with a sensing time of 2 ns.
  • Keywords
    MRAM devices; SPICE; HSPICE simulation; PRAPY memory; current 0.3 muA; deep submicron technologies; leakage current; pMOS; read access pass yield; self-body biasing; sensing current; storage capacity 32 Mbit; time 2 ns; Integrated circuit modeling; Leakage currents; Random access memory; Sensors; Torque; Transistors; Body biasing; IO device; sensing circuit; sensing margin; spin transfer torque MRAM (STT-MRAM); spin transfer torque MRAM (STT-MRAM).;
  • fLanguage
    English
  • Journal_Title
    Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-8210
  • Type

    jour

  • DOI
    10.1109/TVLSI.2013.2272587
  • Filename
    6572854