• DocumentCode
    1286949
  • Title

    Performance Modeling of Low- k /Cu Interconnects for 32-nm-Node and Beyond

  • Author

    Tada, Munehiro ; Inoue, Naoya ; Hayashi, Yoshihiro

  • Author_Institution
    Device Platforms Res. Labs., NEC Corp., Sagamihara, Japan
  • Volume
    56
  • Issue
    9
  • fYear
    2009
  • Firstpage
    1852
  • Lastpage
    1861
  • Abstract
    Challenges and issues with the scaling of low-k/Cu interconnects in ultra-large-scale integration (ULSI) devices are reviewed, and the performance of interconnects is featured by considering the effect of the resistance and capacitance per unit interconnect length or the minimum grid length. The grid-scaled resistance-capacitance (GSRC) model is proposed to compare the interconnect performance at various technology nodes. Introduction of low-k films to reduce the line capacitance improves the per-grid value of the resistance-capacitance product, however, the abrupt increment of the line resistivity due to the small-size effect consumes the benefit of the capacitance beyond 32-nm-node. We also discuss power consumption in interconnects with different low-k structures based on experimental works. Continuous reduction of effective k-value (K eff) is needed to reduce the active power consumption. The way to reduce the interconnect resistance while keeping the interconnect reliability high is a key challenge, particularly for deeply scaled-down ULSIs.
  • Keywords
    ULSI; integrated circuit interconnections; grid-scaled resistance-capacitance model; low-k-Cu interconnects; performance modeling; ultra-large-scale integration devices; Capacitance; Conducting materials; Conductivity; Copper; Degradation; Electrons; Energy consumption; Silicon compounds; Space technology; Ultra large scale integration; Delay; low-$k$/Cu interconnects; power consumption; scaling;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/TED.2009.2026519
  • Filename
    5191112