• DocumentCode
    819875
  • Title

    Reduced power SOM/LVQ arrays through distance thresholding

  • Author

    Hendry, D.C. ; Cambio, R.

  • Author_Institution
    Dept. of Eng., Univ. of Aberdeen, UK
  • Volume
    39
  • Issue
    21
  • fYear
    2003
  • Firstpage
    1524
  • Lastpage
    1525
  • Abstract
    The distance thresholding method is introduced as a means of reducing power dissipation for self-organising map (SOM)/learning vector quantisation (LVQ) calculations using a single instruction multiple data (SIMD) array. The method requires little additional hardware support. For three standard SOM/LVQ benchmarks power reductions are approximately 45%.
  • Keywords
    learning (artificial intelligence); parallel processing; self-organising feature maps; vector quantisation; SIMD array; SOM/learning vector quantisation; clock gating technique; distance thresholding method; power dissipation reduction; reduced power SOM/LVO arrays; self-organising map; single instruction multiple data array;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20030961
  • Filename
    1242809
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=819875