Energy Efficiency through Significance-Based Computing

Autoria(s): Nikolopoulos, Dimitrios S.; Vandierendonck, Hans; Bellas, Nikolaos; Antonopoulos, Christos D.; Lalis, Spyros; Karakonstantis, Georgios; Burg, Andreas; Naumann, Uwe
Data(s)

22/07/2014
Resumo

An extension of approximate computing, significance-based computing exploits applications' inherent error resiliency and offers a new structural paradigm that strategically relaxes full computational precision to provide significant energy savings with minimal performance degradation.
Formato

application/pdf
Identificador

http://pure.qub.ac.uk/portal/en/publications/energy-efficiency-through-significancebased-computing(dd426af9-bea9-420f-8cf0-a1b866b6d01e).html

http://dx.doi.org/10.1109/MC.2014.182

http://pure.qub.ac.uk/ws/files/11079157/r07green.pdf
Idioma(s)

eng
Direitos

info:eu-repo/semantics/openAccess
Fonte

Nikolopoulos , D S , Vandierendonck , H , Bellas , N , Antonopoulos , C D , Lalis , S , Karakonstantis , G , Burg , A & Naumann , U 2014 , ' Energy Efficiency through Significance-Based Computing ' Computer , vol 47 , no. 7 , pp. 82-85 . DOI: 10.1109/MC.2014.182
Tipo

article
Acesso ao item digital