Silent Data Corruptions (SDCs) pose a significant threat to the integrity of digital systems.
These stealthy saboteurs silently corrupt data, remaining undetected by traditional error …

Silent Data Corruptions (SDCs) due to defects in computing chips (CPUs, GPUs, AI
accelerators) is a critical threat to the quality of large-scale computing in different application …

Fail-stop errors and Silent Data Corruptions (SDCs) are the most common failure modes for
High Performance Computing (HPC) applications. There are studies that address fail-stop …

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 …

With the rate of errors that silently effect an application's state/output expected to increase in
future HPC machines, numerous mitigation schemes have been proposed, but little work …

The decreasing size of transistors has been critical to the increase in capacity of
supercomputers. The smaller the transistors are, less energy is required to flip a bit, and thus …

Many methods are available to detect silent errors in high-performance computing (HPC)
applications. Each comes with a given cost and recall (fraction of all errors that are actually …

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 …

Silent Data Corruption (SDC) in processors can lead to various application-level issues,
such as incorrect calculations and even data loss. Since traditional techniques are not …

Silent Errors within hardware devices occur when an internal defect manifests in a part of the
circuit which does not have check logic to detect the incorrect circuit operation. The results of …