• DocumentCode
    500827
  • Title

    Human computing for EDA

  • Author

    DeOrio, Andrew ; Bertacco, Valeria

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2009
  • fDate
    26-31 July 2009
  • Firstpage
    621
  • Lastpage
    622
  • Abstract
    Electronic design automation is a field replete with challenging, and often intractable, problems to be solved over very large instances. As a result, the field of design automation has developed a staggering expertise in approximations, abstractions and heuristics as a means to sidestep the NP-hard nature of these problems. Approximations and heuristics are at heart a natural application of human reasoning. In this work we propose to harness human potential to solve some of these problems. Specifically, we propose FunSAT, a massively multiplayer puzzle game for SAT solving. FunSAT leverages visual pattern recognition skills, abstract perception and intuitive strategy skills of humans to solve complex SAT instances. Players are motivated by the puzzle solving challenges of the game and by its social interaction aspects.
  • Keywords
    computability; computational complexity; computer games; electronic design automation; image recognition; FunSAT multiplayer puzzle game; NP-hard EDA; abstract perception; electronic design automation; human computing; humans strategy skill; satisfiability; visual pattern recognition skills; Computer science; Design automation; Design engineering; Electronic design automation and methodology; Heart; Humans; Intelligent agent; Pattern recognition; Permission; Problem-solving; Human Computing; Satisfiability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference, 2009. DAC '09. 46th ACM/IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    0738-100X
  • Print_ISBN
    978-1-6055-8497-3
  • Type

    conf

  • Filename
    5227084