• DocumentCode
    2089932
  • Title

    QCA Systolic Matrix Multiplier

  • Author

    Lu, Liang ; Liu, Weiqiang ; O´Neill, Máire ; Swartzlander, Earl E., Jr.

  • Author_Institution
    Inst. of Electron., Commun. & Inf. Technol., Queen´´s Univ. Belfast, Belfast, UK
  • fYear
    2010
  • fDate
    5-7 July 2010
  • Firstpage
    149
  • Lastpage
    154
  • Abstract
    Quantum-dot Cellular Automata (QCA) technology is a promising alternative to CMOS technology. It is attractive due to its fast speed, small area and low power consumption. To explore the characteristics of QCA technology, digital circuit design approaches have been investigated. Due to the inherent wire delay in this technology, QCA appears to be suitable for pipelined architectures particularly. Systolic arrays take advantage of pipelining and parallelism. Therefore, an investigation into systolic array design in QCA technology is provided in this paper. A case study of the first systolic matrix multiplier is designed and analyzed. The results show that by applying the systolic array structure to QCA designs, significant benefits can be achieved particular with large systolic array size, even more so than when applied to CMOS-based technology. QCA has significant advantages in terms of speed and area over CMOS technology, for instance, a factor of 12 smaller in terms of the area in this proposed matrix multiplier design when compared with same CMOS 32 nm implementation.
  • Keywords
    cellular automata; logic design; multiplying circuits; pipeline arithmetic; quantum computing; quantum dots; QCA systolic matrix multiplier; digital circuit design; pipelined architecture; quantum dot cellular automata technology; systolic arrays; Arrays; CMOS integrated circuits; Clocks; Delay; Layout; Logic gates; Wire; Quantum-dot Cellular Automata; matrix multiplier; systolic array;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI (ISVLSI), 2010 IEEE Computer Society Annual Symposium on
  • Conference_Location
    Lixouri, Kefalonia
  • Print_ISBN
    978-1-4244-7321-2
  • Type

    conf

  • DOI
    10.1109/ISVLSI.2010.53
  • Filename
    5572762