Oct 12, 2022 · We propose to characterize the soft error induced data disturbance on each neuron with normal distribution model according to central limit theorem.
Abstract—Soft errors in large VLSI circuits have a significant impact on computing- and memory-intensive neural network. (NN) processing.
Apr 11, 2023 · Soft errors in large VLSI circuits have a significant impact on computing- and memory-intensive neural network (NN) processing.
Abstract—Soft errors in large VLSI circuits have a signifi- cant impact on computing- and memory-intensive neural network. (NN) processing.
The statistical models reveal not only the correlation between soft errors and the accuracy of NN models, but also how NN parameters such as quantization and ...
However,. GPUs are prone to soft errors. These errors can impact the behaviors of the GPU dramatically. Thus, the generated fault may corrupt data values or ...
Missing: Influence | Show results with:Influence
This paper explains what neural networks are, translates neural network jargon into statistical jargon, and shows the relationships between neural networks and ...
Missing: Soft Influence
The impact of compiler optimization on DNNs' soft error resilience is studied. · Statistics indicate that a layer with more execution time is more vulnerable.
The base idea of statistical model based analysis is to observe the statistical trend when errors occur and propagate on large number of neurons. Although it is ...
SASlETS® and SAS/OR® software have been optimised to calculate the Root Mean Square error in the most efficient way possible. This reduces computational ...