ISBN: 9783031186011 - early soft error reliability assessment of convolutional neural networks executing on resource-constrained iot edge devices (synthesis lectures on engineering, science, and technology) (4 Ergebnisse)

Zustand: New. In English.

Paperback. Zustand: Brand New. 146 pages. 9.45x6.61x0.32 inches. In Stock.

Taschenbuch. Zustand: 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.…

Taschenbuch. Zustand: Neu. Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Constrained IoT Edge Devices | Geancarlo Abich (u. a.) | Taschenbuch | Synthesis Lectures on Engineering, Science, and Technology | xv | Englisch | 2024 | Springer | EAN 9783031186011 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…