• DocumentCode
    1237012
  • Title

    RSFQ random logic gate density scaling for the next-generation Josephson junction technology

  • Author

    Bunyk, Paul

  • Author_Institution
    Space & Electron., TRW Inc., Redondo Beach, CA, USA
  • Volume
    13
  • Issue
    2
  • fYear
    2003
  • fDate
    6/1/2003 12:00:00 AM
  • Firstpage
    496
  • Lastpage
    497
  • Abstract
    Post-layout automatic analysis of Flux-1 microprocessor, a representative random logic RSFQ chip of more than 5000 gate complexity, allowed us to extract important layout parameters such as gate density, Josephson junction density and gate/wiring/unused area ratios. A scaling model is presented to predict the area required to layout a given number of random logic gates. When applied to Flux-1 chip itself, which occupies 88.6 mm2 in the current TRWs 4 kA/cm2 J110D technology, this model predicts that it can be shrunk by almost a factor of two in area to 49 mm2 if moved to a next-generation J110E technology with 8 kA/cm2 junctions. This information enables us to confidently floorplan random logic chips to be implemented in future advanced JJ technologies. It can also provide directions for JJ technology improvements leading to the maximum positive impact on RSFQ chip density.
  • Keywords
    circuit layout CAD; integrated circuit layout; logic CAD; logic gates; microprocessor chips; superconducting processor circuits; Flux-1 microprocessor; JJ technologies; Josephson junction density; RSFQ; chip density; gate density; gate/wiring/unused area ratios; layout parameters; next-generation Josephson junction technology; random logic gate density scaling; scaling model; Automatic logic units; CMOS logic circuits; Data mining; Josephson junctions; Logic gates; Microprocessors; Predictive models; Space technology; Stripline; Wiring;
  • fLanguage
    English
  • Journal_Title
    Applied Superconductivity, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8223
  • Type

    jour

  • DOI
    10.1109/TASC.2003.813915
  • Filename
    1211648