Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Constrained IoT Edge Devices

von Geancarlo Abich, Luciano Ost, Ricardo Reis

131 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• Reihe: Synthesis Lectures on Engineering, Science, and Technology
• Themen: Technologie, Ingenieurswissenschaft, Landwirtschaft, Industrieprozesse Elektronik, Nachrichtentechnik Elektronik Schaltkreise und Komponenten (Bauteile)
• ISBN: 9783031185984
• Sprache: Englisch
• Erscheinungsdatum: 02.01.2023
• Größe: 24 x 16.8 cm
• Verlag: Springer International Publishing