• DocumentCode
    955529
  • Title

    Bit-serial systolic array implementation of a multilayer perceptron

  • Author

    Murtagh, P. ; Tsoi, A.C. ; Bergmann, N.

  • Author_Institution
    Dept. of Electr. Eng., St. Lucia, Queensland Univ., Qld., Australia
  • Volume
    140
  • Issue
    5
  • fYear
    1993
  • fDate
    9/1/1993 12:00:00 AM
  • Firstpage
    277
  • Lastpage
    288
  • Abstract
    The paper describes the implementation of a bit-serial systolic array architecture for a multilayer perceptron. It is shown that both the recall phase and learning phase can be mapped onto a similar systolic array structure, with minor differences. As a result, a combined systolic array structure is proposed for both the recall phase and the learning phase. The design is simulated using the FIRST silicon compiler to solve the exclusive OR problem, and then compared with a 32-bit floating-point simulation. The central element, multiply-and-accumulate operator was fabricated using a 1.2 mu m double metal CMOS p-well process by ORBIT semiconductor, and found to perform satisfactorily. The required chips were implemented with the same technology, and performance parameters estimated. Furthermore, the performance of this architecture in solving the NETtalk problem is compared with other implementations.
  • Keywords
    feedforward neural nets; systolic arrays; 32-bit floating-point simulation; CMOS p-well process; FIRST silicon compiler; NETtalk problem; ORBIT semiconductor; bit serial systolic array implementation; exclusive OR problem; learning phase; multilayer perceptron; multiply-and-accumulate operator; recall phase;
  • fLanguage
    English
  • Journal_Title
    Computers and Digital Techniques, IEE Proceedings E
  • Publisher
    iet
  • ISSN
    0143-7062
  • Type

    jour

  • Filename
    237921