• DocumentCode
    3038982
  • Title

    A Statistical Model for Assessing the Fault Tolerance of Variable Switching Currents for a 1Gb Spin Transfer Torque Magnetoresistive Random Access Memory

  • Author

    Asao, Y. ; Iwayama, M. ; Tsuchida, K. ; Nitayama, A. ; Yoda, H. ; Aikawa, H. ; Ikegawa, S. ; Kishi, T.

  • Author_Institution
    Center for Semicond. R&D, Toshiba Corp., Tokyo
  • fYear
    2008
  • fDate
    1-3 Oct. 2008
  • Firstpage
    507
  • Lastpage
    515
  • Abstract
    A comprehensive statistical model of the switching probability was proposed for a 1 Gb spin transfer torque magneto resistive random access memory (STT-MRAM). Since the switching current varies with every write cycle owing to the thermal instability, the read disturbance and the write error are critical issues in the STT-MRAM. In this paper, the operating condition of read and write was designed so as not to cause the read disturbance or the write error. The effect of an error correcting code (ECC) on the read disturbance was also calculated. Finally, it was demonstrated that the 1 Gb STT-MRAM could be realized with the optimal bit line voltages and the ECC.
  • Keywords
    error correction codes; fault tolerant computing; magnetoresistive devices; random-access storage; statistical analysis; error correcting code; fault tolerance; optimal bit line voltages; spin transfer torque magnetoresistive random access memory; statistical model; variable switching currents; Error correction codes; Fault tolerance; Fault tolerant systems; Gaussian distribution; MOSFET circuits; Magnetic switching; Magnetic tunneling; Magnetoresistance; Random access memory; Torque; Error correcting code; MOSFET; MRAM; MTJ; Spin transfer torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Defect and Fault Tolerance of VLSI Systems, 2008. DFTVS '08. IEEE International Symposium on
  • Conference_Location
    Boston, MA
  • ISSN
    1550-5774
  • Print_ISBN
    978-0-7695-3365-0
  • Type

    conf

  • DOI
    10.1109/DFT.2008.18
  • Filename
    4641210