Title | ||
---|---|---|
Applying Lightweight Soft Error Mitigation Techniques to Embedded Mixed Precision Deep Neural Networks |
Abstract | ||
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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 Abich | 1 | 4 | 1.56 |
Jonas Gava | 2 | 6 | 2.38 |
Rafael Garibotti | 3 | 69 | 6.63 |
Ricardo A. L. Reis | 4 | 217 | 48.75 |
Luciano Ost | 5 | 441 | 36.69 |