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

Ricardo Reis author Luciano Ost author Geancarlo Abich author

Format:Paperback

Publisher:Springer International Publishing AG

Published:3rd Jan '24

Should be back in stock very soon

This paperback is available in another edition too:

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

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.

ISBN: 9783031186011

Dimensions: unknown

Weight: unknown

131 pages

1st ed. 2023