The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.07 - July (2014 vol.47)
pp: 82-85
Dimitrios S. Nikolopoulos , Queen's University of Belfast
Hans Vandierendonck , Queen's University of Belfast
Nikolaos Bellas , University of Thessaly
Christos D. Antonopoulos , University of Thessaly
Spyros Lalis , University of Thessaly
Georgios Karakonstantis , École Polytechnique Fédérale de Lausanne
Andreas Burg , École Polytechnique Fédérale de Lausanne
Uwe Naumann , RWTH Aachen University
ABSTRACT
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.
INDEX TERMS
Educational institutions, Reliability, Convergence, Algorithm design and analysis, Computers, Circuit faults, Hardware,iterative solvers, Green computing, software engineering, hardware, on-chip power consumption, energy wall, approximate computing, significance-based computing, SCoRPiO, Significance-Based Computing for Reliability and Power Optimization, automatic differentiation
CITATION
Dimitrios S. Nikolopoulos, Hans Vandierendonck, Nikolaos Bellas, Christos D. Antonopoulos, Spyros Lalis, Georgios Karakonstantis, Andreas Burg, Uwe Naumann, "Energy Efficiency through Significance-Based Computing", Computer, vol.47, no. 7, pp. 82-85, July 2014, doi:10.1109/MC.2014.182
61 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool