3 citations · 5 across the 3 of their papers we have counts for
Showing cs.ARShow all
2 papers · 1 filter
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.AR2022
Experimental evaluation of neutron-induced errors on a multicore RISC-V platform
Fernando Fernandes dos Santos, Angeliki Kritikakou, Olivier Sentieys
RISC-V architectures have gained importance in the last years due to their flexibility and open-source Instruction Set Architecture (ISA), allowing developers to efficiently adopt…