Projects per year
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.
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