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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

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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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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