2 papers
cs.LG2025
Mitigating multiple single-event upsets during deep neural network inference using fault-aware training
Toon Vinck, Naïn Jonckers, Gert Dekkers +2
Deep neural networks (DNNs) are increasingly used in safety-critical applications. Reliable fault analysis and mitigation are essential to ensure their functionality in harsh envir…
cs.AR2024
Single-Event Upset Analysis of a Systolic Array based Deep Neural Network Accelerator
Naïn Jonckers, Toon Vinck, Gert Dekkers +2
Deep Neural Network (DNN) accelerators are extensively used to improve the computational efficiency of DNNs, but are prone to faults through Single-Event Upsets (SEUs). In this wor…