Understanding Error Propagation in Deep-Learning Neural Networks' Accelerators and Applications

Guanpeng Li, Siva Kumar Sastry Hari, Michael B. Sullivan, Timothy Tsai, Karthik Pattabiraman, Joel S. Emer, Stephen W. Keckler

Published: 2025, Last Modified: 07 May 2026IEEE Des. Test 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: 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
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