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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
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

Ost, Luciano
Reis, Ricardo
Abich, Geancarlo

Hardcover

Series: Synthesis Lectures on Engineering, Science, and Technology

Technology & EngineeringNetworking

ISBN10: 3031185986
ISBN13: 9783031185984
Publisher: Springer
Published: Jan 2 2023
Pages: 131
Weight: 0.95
Height: 0.39 Width: 6.38 Depth: 9.37
Language: English

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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