Exposing Reliability Degradation and Mitigation in Approximate DNNs Under Permanent Faults
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2023.3238907
Abstract: Approximate computing is known for enhancing deep neural network accelerators’ energy efficiency by introducing inexactness with a tolerable accuracy loss. However, small accuracy variations may increase the sensitivity of these accelerators toward undesired subtle disturbances,… read more here.
Keywords: permanent faults; mitigation approximate; accuracy loss; fault ... See more keywords