• DocumentCode
    2444558
  • Title

    Determining the minimum energy operating point for embedded SRAM memory

  • Author

    Yahya, Farah B. ; Mansour, Mohammad

  • Author_Institution
    ECE Dept., American Univ. of Beirut, Beirut, Lebanon
  • fYear
    2011
  • fDate
    4-7 Oct. 2011
  • Firstpage
    112
  • Lastpage
    116
  • Abstract
    Reducing power consumption is a major concern in mobile applications, since they are battery operated and require high performance. In this paper, a novel technique to reduce the power consumed by embedded SRAM memory is introduced. The proposed method is an on-chip circuit to measure the optimal data retention voltage (DRV) of the SRAM array. The implemented DRV computing circuit consists of a built-in-self-test (BIST) unit, a DC-DC converter and some control logic. The proposed technique can be used to accurately measure the DRV to ensure the SRAM operates at its minimum energy point. The circuit was developed in 90nm technology and simulated using HSPICE. Monte-Carlo simulation of 100k samples determined the DRV as 150mV whereas the proposed technique showed that the DRV of the SRAM under test could be lowered to 80mV which would result in significant power savings.
  • Keywords
    Monte Carlo methods; SPICE; SRAM chips; built-in self test; embedded systems; mobile computing; power aware computing; DC-DC converter; DRV computing circuit; HSPICE; Monte Carlo simulation; built-in-self-test; control logic; data retention voltage; embedded SRAM memory; mobile device; on-chip circuit; size 90 nm; voltage 150 mV; Arrays; Built-in self-test; Circuit faults; Delay; Random access memory; Transistors; BIST; DC-DC converters; DRV; SRAM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (SiPS), 2011 IEEE Workshop on
  • Conference_Location
    Beirut
  • ISSN
    2162-3562
  • Print_ISBN
    978-1-4577-1920-2
  • Type

    conf

  • DOI
    10.1109/SiPS.2011.6088959
  • Filename
    6088959