ISBN: 9783031185984 - early soft error reliability assessment of convolutional neural networks executing on resource-constrained iot edge devices (11 risultati)

Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2023
Serie: Libro 56 di 110 - Synthesis Lectures on Engineering, Science, and Technology
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Hardcover. Condizione: new. Hardcover. This book describes an extensive and consistent soft error assessment of convolutional neural network (CNN) models from different domains through more than 14.8 million fault injections, considering different precision bit-width configurations, optimization parameters, and processor models. The authors also evaluate the relative performance, memory utilization, and soft error reliability trade-offs analysis of different CNN models considering a compiler-based technique w.r.t. traditional redundancy approaches. This book describes an extensive and consistent soft error assessment of convolutional neural network (CNN) models from different domains through more than 14.8 million fault injections, considering different precision bit-width configurations, optimization parameters, and processor models. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 56 di 110 - Synthesis Lectures on Engineering, Science, and Technology
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Condizione: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.

Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 56 di 110 - Synthesis Lectures on Engineering, Science, and Technology
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes an extensive and consistent soft error assessment of convolutional neural network (CNN) models from different domains through more than 14.8 million fault injections, considering different precision bit-width configurations, optimization parameters, and processor models. The authors also evaluate the relative performance, memory utilization, and soft error reliability trade-offs analysis of different CNN models considering a compiler-based technique w.r.t. traditional redundancy approaches.…

Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-constrained IoT Edge Devices
Abich, Geancarlo (Author)/ Ost, Luciano (Author)/ Reis, Ricardo (Author)
Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 56 di 110 - Synthesis Lectures on Engineering, Science, and Technology
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Hardcover. Condizione: Brand New. 146 pages. 9.45x6.61x0.51 inches. In Stock.

Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 56 di 110 - Synthesis Lectures on Engineering, Science, and Technology
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Da: Buchpark, Trebbin, GermaniaBuchpark
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Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book describes an extensive and consistent soft error assessment of convolutional neural network (CNN) models from different domains through more than 14.8 million fault injections, considering different precision bit-width configurations, optimization parameters, and processor models. The authors also evaluate the relative performance, memory utilization, and soft error reliability trade-offs analysis of different CNN models considering a compiler-based technique w.r.t. traditional redundancy approaches.…

Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 56 di 110 - Synthesis Lectures on Engineering, Science, and Technology
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Lingua: Inglese
Editore: Springer Nature Switzerland Jan 2023, 2023
Serie: Libro 56 di 110 - Synthesis Lectures on Engineering, Science, and Technology
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes an extensive and consistent soft error assessment of convolutional neural network (CNN) models from different domains through more than 14.8 million fault injections, considering different precision bit-width configurations, optimization parameters, and processor models. The authors also evaluate the relative performance, memory utilization, and soft error reliability trade-offs analysis of different CNN models considering a compiler-based technique w.r.t. traditional redundancy approaches. 148 pp. Englisch.…

Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Switzerland|Springer, 2023
Serie: Libro 56 di 110 - Synthesis Lectures on Engineering, Science, and Technology
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book describes an extensive and consistent soft error assessment of convolutional neural network (CNN) models from different domains through more than 14.8 million fault injections, considering different precision bit-width configurations, optimizat. …

Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 56 di 110 - Synthesis Lectures on Engineering, Science, and Technology
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 56 di 110 - Synthesis Lectures on Engineering, Science, and Technology
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Lingua: Inglese
Editore: Springer, Springer Jan 2023, 2023
Serie: Libro 56 di 110 - Synthesis Lectures on Engineering, Science, and Technology
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book describes an extensive and consistent soft error assessment of convolutional neural network (CNN) models from different domains through more than 14.8 million fault injections, considering different precision bit-width configurations, optimization parameters, and processor models. The authors also evaluate the relative performance, memory utilization, and soft error reliability trade-offs analysis of different CNN models considering a compiler-based technique w.r.t. traditional redundancy approaches.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 148 pp. Englisch.…