The recent trend in most processor manufacturing technologies has significantly increased
the vulnerability of embedded systems operating in harsh environments against soft errors …

Anomalies are an inevitable occurrence while operating enterprise software systems.
Traditionally, anomalies are detected by threshold-based alarms for critical metrics, or health …

High-performance computing is a powerful tool that allows scientists to study complex
natural phenomena. Extreme-scale supercomputers promise orders of magnitude higher …

Transient hardware faults have become prevalent due to the shrinking size of transistors,
leading to silent data corruptions (SDCs). Therefore, HPC applications need to be evaluated …

This paper proposes and evaluates error detection and recovery mechanisms suitable for
embedded systems. The purpose of these mechanisms is to provide detection of and …

Recently, researchers have shown that exploiting symptom-based solutions provides a
promising way to achieve low-cost fault tolerance. However, these solutions cannot provide …

Transient and permanent errors in memory and CPUs occur with alarming frequency.
Although most of these errors are masked at the hardware level or result in crashes, a non …

Fault injection in early microarchitecture-level simulation CPU models and beam
experiments on the final physical CPU chip are two established methodologies to access the …

The use of deep learning (DL) on HPC resources has become common as scientists explore
and exploit DL methods to solve domain problems. On the other hand, in the coming …

Soft error caused by single event upset has been a severe challenge to aerospace‐based
computing. Silent data corruption (SDC) is one of the results incurred by soft error. SDC …