Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource Constrained IoT Edge Devices is popular PDF and ePub book, written by Geancarlo Abich in 2023-01-01, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource Constrained IoT Edge Devices can be Read Online from any device for your convenience.
Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource Constrained IoT Edge Devices Book PDF Summary
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.
Detail Book of Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource Constrained IoT Edge Devices PDF
- Author : Geancarlo Abich
- Release : 01 January 2023
- Publisher : Springer Nature
- ISBN : 9783031185991
- Genre : Technology & Engineering
- Total Page : 143 pages
- Language : English
- PDF File Size : 14,8 Mb
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