Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Constrained IoT Edge Devices 1

Data & IT

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

Geancarlo Abich • Luciano Ost • Ricardo Reis

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131 sidor
2024

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.

Författare: Geancarlo Abich, Luciano Ost, Ricardo Reis
Format: Pocket/Paperback
ISBN: 9783031186011
Språk: Engelska
Antal sidor: 131
Utgivningsdatum: 2024-01-03
Förlag: Springer International Publishing AG