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 journalArticlepeer-review

3 Citations (Scopus)
233 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

Fingerprint Dive into the research topics of 'Energy Efficiency through Significance-Based Computing'. Together they form a unique fingerprint.

Cite this