Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Constrained IoT Edge Devices
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.
Mehr anzeigenSofort verfügbar, Lieferzeit: 1-3 Tage
Nur noch wenige Artikel verfügbar!
Weitere Infos zum Zustand
46,76 €
Preise inkl. MwSt. zzgl. Versandkosten
14 Tage Zufriedenheitsgarantie
Risikofrei bestellen
Geprüfte Gebrauchtware
Einzeln geprüft
Produktinformationen "Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Constrained IoT Edge Devices"
Anmelden
Versandkostenfrei ab 29 €
14 Tage Rückgaberecht - Kein Risiko
Geprüfte Gebrauchtware