• DocumentCode
    252381
  • Title

    Data retention voltage analysis of various low-power SRAM topologies

  • Author

    Leochico, Kester ; John, Eugene

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas at San Antonio, San Antonio, TX, USA
  • fYear
    2014
  • fDate
    3-6 Aug. 2014
  • Firstpage
    913
  • Lastpage
    916
  • Abstract
    In this paper, we analyze and compare five different low-power SRAM cell topologies in terms of their data retention voltages (DRV). The circuit simulation and analysis was carried out using HSPICE with the 45 nm, 32 nm, and 22 nm low-power Predictive Technology Model (PTM) transistor models by setting the SRAM cells to an initial state and bringing the supply voltage down for different standby voltages. Based on these results, the standard 6T SRAM cell provides the lowest DRV out of all of the SRAM cells in this study at the 45 nm and 32 nm process nodes, but the 7T, 8T, and 10T SRAM cells provide better DRV performance at the 22 nm process node. These results give a first look at the effects that SRAM cell topology can have on DRV, and provide a starting point for future research into ultra low-power memory design.
  • Keywords
    SRAM chips; low-power electronics; 10T cells; 7T cells; 8T cells; DRV; HSPICE; PTM transistor models; SRAM cell topologies; circuit simulation; data retention voltage analysis; predictive technology model transistor models; size 22 nm; size 32 nm; size 45 nm; standby voltages; ultra low-power memory design; Inverters; Mathematical model; SRAM cells; Standards; Topology; Transistors; Data Retention Voltage (DRV); SRAM cells;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (MWSCAS), 2014 IEEE 57th International Midwest Symposium on
  • Conference_Location
    College Station, TX
  • ISSN
    1548-3746
  • Print_ISBN
    978-1-4799-4134-6
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2014.6908564
  • Filename
    6908564