• DocumentCode
    703934
  • Title

    Computing approximately, and efficiently

  • Author

    Venkataramani, Swagath ; Chakradhar, Srimat T. ; Roy, Kaushik ; Raghunathan, Anand

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2015
  • fDate
    9-13 March 2015
  • Firstpage
    748
  • Lastpage
    751
  • Abstract
    Recent years have witnessed significant interest in the area of approximate computing. Much of this interest stems from the quest for new sources of computing efficiency in the face of diminishing benefits from technology scaling. We argue that trends in computing workloads will greatly increase the opportunities for approximate computing, describe the vision and key principles that have guided our work in this area, and outline a range of approximate computing techniques that we have developed at all layers of the computing stack, spanning circuits, architecture, and software.
  • Keywords
    inference mechanisms; power aware computing; approximate computing techniques; computing efficiency; computing stack; computing workloads; spanning circuits; technology scaling; Algorithm design and analysis; Approximation algorithms; Approximation methods; Computer architecture; Hardware; Resilience; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015
  • Conference_Location
    Grenoble
  • Print_ISBN
    978-3-9815-3704-8
  • Type

    conf

  • Filename
    7092486