Energy Efficiency through Significance-Based Computing

Dimitrios S. Nikolopoulos, Hans Vandierendonck, Nikolaos Bellas, Christos D. Antonopoulos, Spyros Lalis, Georgios Karakonstantis, Andreas Burg, Uwe Naumann

Research output: Contribution to journalArticle

3 Citations (Scopus)
256 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)82-85
Number of pages4
JournalComputer
Volume47
Issue number7
DOIs
Publication statusPublished - 22 Jul 2014

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    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, 47(7), 82-85. https://doi.org/10.1109/MC.2014.182