• DocumentCode
    549709
  • Title

    Variability and technology aware SRAM Product yield maximization

  • Author

    Zuber, P. ; Miranda, M. ; Bardon, M. ; Cosemans, S. ; Roussel, P. ; Dobrovolny, P. ; Chiarella, T. ; Horiguchi, N. ; Mercha, A. ; Hoffmann, T.Y. ; Verkest, D. ; Biesemans, S.

  • Author_Institution
    Imec, Leuven, Belgium
  • fYear
    2011
  • fDate
    14-16 June 2011
  • Firstpage
    222
  • Lastpage
    223
  • Abstract
    This work assesses the impact of process variability such as device mismatch of two in-house FinFET and a planar technology on key figures of merit (SNM and WTP) of SRAMs - for the first time not only at cell but also at product level. We show that the statistical cell response in the very end of the tails is the key metric that determines SRAM yield, which is quite different between the SRAM cell and its array. Statistical VCCmin analysis shows that for small arrays, supply voltage in planar is limited to around 1 V, in doped Bulk-FF (BFF) to 0.9 V, while undoped SOIFF reaches 0.6 V. Meanwhile, VCC limits for array sizes are 512 Kbit at 1V for planar, 2 Mbit at 0.9 V FOR BFF, and - far ahead - at least 1 GBit at 0.7 V for undoped SOIFF devices. Supported by an AVt sensitivity analysis, it appears to be the introduction of full depletion that forms the prime choice criteria of that device for SRAM implementations.
  • Keywords
    SRAM chips; silicon-on-insulator; statistical analysis; BFF; FinFET; SNM; SRAM cell array; WTP; bulk-FF; planar technology; process variability; sensitivity analysis; statistical analysis; statistical cell response; technology-aware SRAM product yield maximization; undoped SOIFF devices; voltage 0.6 V; voltage 0.7 V; voltage 0.9 V; voltage 1 V; Arrays; FinFETs; Integrated circuit modeling; Random access memory; Sensitivity; Very large scale integration; FinFET; SRAM; variability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Technology (VLSIT), 2011 Symposium on
  • Conference_Location
    Honolulu, HI
  • ISSN
    0743-1562
  • Print_ISBN
    978-1-4244-9949-6
  • Type

    conf

  • Filename
    5984648