Understanding Error Propagation in Deep-Learning Neural Networks’ Accelerators and Applications
Guanpeng Li, Siva Kumar Sastry Hari, Michael B. Sullivan, Timothy K. Tsai, Karthik Pattabiraman, Joel Emer, Stephen W. Keckler · IEEE Design and Test · 2025
Editor’s notes: This article reviews some of the first experiments on deep neural networks to analyze the propagation of soft errors from hardware to the application level, along with some of the first error mitigation strategies. —Jyotika Athavale, Synopsys, USA —Haralampos-G. Stratigopoulos, Sorbonne Université, CNRS, LIP6, France