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

Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Constrained IoT Edge Devices
Author :
Publisher : Springer Nature
Total Pages : 143
Release :
ISBN-10 : 9783031185991
ISBN-13 : 3031185994
Rating : 4/5 (994 Downloads)

Book Synopsis Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Constrained IoT Edge Devices by : Geancarlo Abich

Download or read book Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Constrained IoT Edge Devices written by Geancarlo Abich and published by Springer Nature. This book was released on 2023-01-01 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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