• DocumentCode
    3255027
  • Title

    Physics based computing enabling energy efficiency past moore´s law

  • Author

    Hasler, J.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    679
  • Lastpage
    682
  • Abstract
    Physical computing techniques are fueled by recent advances in programmable and configurable large-scale analog circuits and systems enabling a typical factor of 1000 improvement in computational power (Energy) efficiency over their digital counterparts. We want to utilize the physics of computing systems more efficiently; the question is how to engineer such systems. Large-Scale Field Programmable Analog Arrays (FPAA) enable configurable analog approaches. The ability for non-volatile analog memory fuels all other innovations. At the same time, these advances have been building a framework to bring these techniques towards a systems perspective, undergoing a similar transformation seen in digital design through the early VLSI age. Taking inspiration from neurobiological systems further improves the resulting energy efficiency, mimic extremely energy efficient neural computing structures.
  • Keywords
    analogue storage; field programmable analogue arrays; power aware computing; FPAA; Moores law; configurable analog approaches; digital design; extremely energy efficient neural computing structures; large-scale field programmable analog arrays; neurobiological systems; nonvolatile analog memory; physics based computing; Fabrics; Field programmable analog arrays; Hardware; Routing; Signal processing; Software packages; Switches; FPAA; Reconfigurable Analog; Simulink;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GlobalSIP.2013.6736982
  • Filename
    6736982