Radiation-Induced Soft Error Assessment of a Multithreaded MobileNet CNN Model Running in a Multicore Edge Processor

Convolutional neural networks (CNNs) have become a standard technology in numerous industrial Internet of Things (IoT) applications and sectors, such as automotive and aerospace. Recent advancements in hardware and software (e.g., application programming interface (API)/libraries) components have en...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on nuclear science Jg. 72; H. 8; S. 2821 - 2829
Hauptverfasser:	Gava, Jonas, Sherjil, Areeb, Laurini, Luiz H., Atukpor, Emmanuel, Bastos, Rodrigo Possamai, Moraes, Fernando, Reis, Ricardo, Ost, Luciano
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Application programming interface Artificial neural networks Convolutional neural networks Energy efficiency Error correction codes Field programmable gate arrays Industrial applications Industrial Internet of Things Microprocessors MobileNet Multicore processing multicore processors multithreaded convolutional neural network (CNN) models Neural networks Neutron radiation Neutrons Radiation Radiation effects Reliability Reliability analysis Resilience Safety critical Single instruction multiple data soft error reliability Soft errors Thermal neutrons
ISSN:	0018-9499, 1558-1578
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!