• DocumentCode
    2632652
  • Title

    Emerging sensing techniques for emerging memories

  • Author

    Chen, Yiran ; Li, Hai

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Pittsburgh Pittsburgh, Pittsburgh, PA, USA
  • fYear
    2011
  • fDate
    25-28 Jan. 2011
  • Firstpage
    204
  • Lastpage
    210
  • Abstract
    Among all emerging memories, Spin-Transfer Torque Random Access Memory (STT-RAM) has shown many promising features such as fast access speed, nonvolatility, compatibility to CMOS process and excellent scalability. However, large process variations of both magnetic tunneling junction (MTJ) and MOS transistor severely limit the yield of STT-RAM chips. In this work, we present a recently proposed sensing technique called nondestructive self-reference read scheme (NSRS) to overcome the bit-to-bit variations in STT-RAM by leveraging the different dependencies of the high-resistance state of MTJs on the sensing current biases. Additionally, a few enhancement techniques including R-I curve skewing, yield-driven sensing current selection, and ratio matching are introduced to further improve the robustness of NSRS. The measurements of a 16Kb STT-RAM test chip shows that NSRS can significantly improve the chip yield by reducing sensing failures with high sense margin and low power consumptions.
  • Keywords
    CMOS memory circuits; electric sensing devices; integrated circuit testing; magnetic tunnelling; nondestructive readout; random-access storage; torque; MOS transistor; R-I curve skewing; STT-RAM test chip; emerging memories; magnetic tunneling junction; nondestructive self-reference read scheme; ratio matching; spin-transfer torque random access memory; yield-driven sensing current selection; Integrated circuits; Magnetic fields; Magnetic tunneling; Magnetization; Resistance; Sensors; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference (ASP-DAC), 2011 16th Asia and South Pacific
  • Conference_Location
    Yokohama
  • ISSN
    2153-6961
  • Print_ISBN
    978-1-4244-7515-5
  • Type

    conf

  • DOI
    10.1109/ASPDAC.2011.5722185
  • Filename
    5722185