Early Soft Error Reliability Assessment Of Convolutional Neural Networks Executing On Resource Constrained Iot Edge Devices

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.