Early Soft Error Reliability Assessment of Convolutional Neural Networks Exec...

Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-constrained Iot Edge Devices, Paperback by Abich, Geancarlo; Ost, Luciano; Reis, Ricardo, ISBN 303118601X, ISBN-13 9783031186011, Brand New, Free shipping in the US This book describes an extensive and consistent soft error assessment of convolutional neural network (CNN) models from different domains through more than 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 . traditional redundancy approaches.

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