Title
Applying Lightweight Soft Error Mitigation Techniques to Embedded Mixed Precision Deep Neural Networks
Abstract
Deep neural networks (DNNs) are being incorporated in resource-constrained IoT devices, which typically rely on reduced memory footprint and low-performance processors. While DNNs’ precision and performance can vary and are essential, it is also vital to deploy trained models that provide high reliability at low cost. To achieve an unyielding reliability and safety level, it is imperative to provi...
Year
DOI
Venue
2021
10.1109/TCSI.2021.3097981
IEEE Transactions on Circuits and Systems I: Regular Papers
Keywords
DocType
Volume
Reliability,Software,Registers,Radio access technologies,Computational modeling,Redundancy,Performance evaluation
Journal
68
Issue
ISSN
Citations 
11
1549-8328
3
PageRank 
References 
Authors
0.47
0
5
Name
Order
Citations
PageRank
Geancarlo Abich141.56
Jonas Gava262.38
Rafael Garibotti3696.63
Ricardo A. L. Reis421748.75
Luciano Ost544136.69