more frequently. Such errors can lead to incorrect results. Attempts have been made to use
generic algorithms to detect such errors. Such detectors have demonstrated high precision
and recall for detecting errors, but only if they run immediately after an error has been
injected. In this paper, we propose a neural network detector that can detect SDCs even
multiple iterations after they were injected. We have evaluated our detector with 6 FLASH …