• DocumentCode
    777516
  • Title

    Energy consumption modeling and optimization for SRAM´s

  • Author

    Evans, Robert J. ; Franzon, Paul D.

  • Author_Institution
    IBM PC Co., Research Triangle Park, NC, USA
  • Volume
    30
  • Issue
    5
  • fYear
    1995
  • fDate
    5/1/1995 12:00:00 AM
  • Firstpage
    571
  • Lastpage
    579
  • Abstract
    The recent trends in portable computing technologies have established the need for energy efficient design strategies. To achieve minimum energy design goals, system designers need a technique to accurately model the energy consumption of their design alternatives without performing a full physical design and full-circuit simulation. This paper presents and compares five approaches for modeling the energy consumption of CMOS circuits. These five modeling approaches have been chosen to represent the various levels of model complexity and accuracy found in the current literature. These modeling approaches are applied to the energy consumption of SRAM´s to provide examples of their use and to allow for the comparison of their modeling qualities. It was found that a mixed characterization model-using a CV2 prediction for digital subsections and fitted simulation results for the analog subsections-is satisfactory (within ±1 process variation) for predicting the absolute energy consumed per cycle. This same model is also very good (within 2%) for predicting an optimum organization for the internal structures of the SRAM. Several common architectures and circuit designs for SRAM´s are analyzed with these models. This analysis shows that global, rather than local improvements, produce the largest energy savings
  • Keywords
    CMOS memory circuits; SRAM chips; circuit optimisation; integrated circuit design; integrated circuit modelling; CMOS circuits; SRAMs; absolute energy; energy consumption modeling; global improvements; internal structures; mixed characterization model; model complexity; modeling approaches; Application software; Circuit simulation; Computational modeling; Computers; Design optimization; Energy consumption; Energy efficiency; Predictive models; Random access memory; Semiconductor device modeling;
  • fLanguage
    English
  • Journal_Title
    Solid-State Circuits, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0018-9200
  • Type

    jour

  • DOI
    10.1109/4.384170
  • Filename
    384170