• DocumentCode
    1858422
  • Title

    Influence of Parasitic Capacitance Variations on 65 nm and 32 nm Predictive Technology Model SRAM Core-Cells

  • Author

    Carlo, Stefano Di ; Savino, Alessandro ; Scionti, Alberto ; Prinetto, Paolo

  • Author_Institution
    Control & Comput. Eng. Dept., Politec. di Torino, Torino
  • fYear
    2008
  • fDate
    24-27 Nov. 2008
  • Firstpage
    411
  • Lastpage
    416
  • Abstract
    The continuous improving of CMOS technology allows the realization of digital circuits and in particular static random access memories that, compared with previous technologies, contain an impressive number of transistors. The use of new production processes introduces a set of parasitic effects that gain more and more importance with the scaling down of the technology. In particular, even small variations of parasitic capacitances in CMOS devices are expected to become an additional source of faulty behaviors in future technologies. This paper analyzes and compares the effect of parasitic capacitance variations in a SRAM memory circuit realized with 65 nm and 32 nm predictive technology models.
  • Keywords
    CMOS digital integrated circuits; SRAM chips; CMOS technology; SRAM memory circuit; digital circuits; parasitic capacitance variations; predictive technology model SRAM core-cells; size 32 nm; size 65 nm; static random access memories; CMOS digital integrated circuits; CMOS memory circuits; CMOS technology; Digital circuits; Parasitic capacitance; Predictive models; Production; Random access memory; SRAM chips; Semiconductor device modeling; Core-cell; Dynamic Faults; SRAM Memories;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Asian Test Symposium, 2008. ATS '08. 17th
  • Conference_Location
    Sapporo
  • ISSN
    1081-7735
  • Print_ISBN
    978-0-7695-3396-4
  • Type

    conf

  • DOI
    10.1109/ATS.2008.13
  • Filename
    4711625