47 citations · 58 across the 9 of their papers we have counts for
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cs.AR2022★ 3 cited
Characterizing a Neutron-Induced Fault Model for Deep Neural Networks
Fernando Fernandes dos Santos, Angeliki Kritikakou, Josie Esteban Rodriguez Condia +4
The reliability evaluation of Deep Neural Networks (DNNs) executed on Graphic Processing Units (GPUs) is a challenging problem since the hardware architecture is highly complex and…
cs.NE2022
Reliability Assessment of Neural Networks in GPUs: A Framework For Permanent Faults Injections
Juan-David Guerrero-Balaguera, Luigi Galasso, Robert Limas Sierra +1
Currently, Deep learning and especially Convolutional Neural Networks (CNNs) have become a fundamental computational approach applied in a wide range of domains, including some saf…