A Lightweight Mitigation Technique for Resource- Constrained Devices Executing DNN Inference Models Under Neutron Radiation-Reference-Cited by-同舟云学术

A Lightweight Mitigation Technique for Resource- Constrained Devices Executing DNN Inference Models Under Neutron Radiation

Published:2023-08 Issue:8 Volume:70 Page:1625-1633
ISSN:0018-9499
Container-title:IEEE Transactions on Nuclear Science
language:
Short-container-title:IEEE Trans. Nucl. Sci.

Author:

Gava Jonas¹^ORCID,Hanneman Alex²^ORCID,Abich Geancarlo¹^ORCID,Garibotti Rafael³^ORCID,Cuenca-Asensi Sergio⁴^ORCID,Bastos Rodrigo Possamai⁵^ORCID,Reis Ricardo¹^ORCID,Ost Luciano²^ORCID

Affiliation:

1. PGMicro, UFRGS, Porto Alegre, Brazil

2. Wolfson School, Loughborough University, Loughborough, U.K.

3. School of Technology, PUCRS, Porto Alegre, Brazil

4. Departamento de Tecnología Informática y Computación, Universidad de Alicante, Alicante, Spain

5. Univ. Grenoble Alpes, CNRS, Grenoble INP, TIMA, Grenoble, France

Funder

CAPES

CNPq

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

U.K. EPSRC

MultiRad through Région Auvergne-Rhône-Alpes under Project PAI

IRT Nanoelec through French Programme d’Investissements d’Avenir

UGA/LPSC/GENESIS Platform

Ministerio de Ciencia e Innovación

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Nuclear Energy and Engineering,Nuclear and High Energy Physics

Link

http://xplorestaging.ieee.org/ielx7/23/10221199/10082980.pdf?arnumber=10082980

Reference44 articles.

1. The Impact of Proton-Induced Single Events on Image Classification in a Neuromorphic Computing Architecture

2. Evaluation of the soft error assessment consistency of a JIT‐based virtual platform simulator

3. Assessment of a Hardware-Implemented Machine Learning Technique Under Neutron Irradiation

4. SOFIA: An automated framework for early soft error assessment, identification, and mitigation

5. Investigating the Impact of Radiation-Induced Soft Errors on the Reliability of Approximate Computing Systems

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