Statistical Modeling of Soft Error Influence on Neural Networks. (arXiv:2210.05876v1 [cs.LG])

Soft errors in large VLSI circuits pose dramatic influence on computing- and
memory-intensive neural network (NN) processing. Understanding the influence of
soft errors on NNs is critical to protect against soft errors for reliable NN
processing. Prior work mainly rely on fault simulation to analyze the influence
of soft errors on NN processing. They are accurate but usually specific to
limited configurations of errors and NN models due to the prohibitively slow
simulation speed especially for large NN models and …

arxiv error influence modeling networks neural networks statistical statistical modeling