Exploring the Resiliency of Hardware CNN for Aerospace Application
Corrado De Sio, Giorgio Cora, Sarah Azimi, Eleonora Vacca, Luca Sterpone · 2024
As CNNs gain traction on hardware accelerators, Field Programmable Gate Arrays (FPGAs) stand out for their flexibility and computational power. However, ensuring the reliability on FPGAs poses a challenge. This study focuses on conducting a precise reliability analysis at the neuron level and implementing a selective mitigation technique to enhance CNN reliability. The Xilinx Zynq-7020 SoC is utilized to implement the ZFnet CNN, validating the proposed analysis and mitigation approach.