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
Link To Document :
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