For exascale HPC applications, silent data corruption (SDC) is one of the most dangerous
problems because there is no indication that there are errors during the execution. We …

Future high-performance computing (HPC) systems with ever-increasing resource capacity
(such as compute cores, memory and storage) may significantly increase the risks on …

The silent data corruption (SDC) problem is attracting more and more attentions because it
is expected to have a great impact on exascale HPC applications. SDC faults are hazardous …

Silent data corruption (SDC) poses a great challenge for high-performance computing
(HPC) applications as we move to extreme-scale systems. Mechanisms have been …

As the exascale era approaches, the increasing capacity of high-performance computing
(HPC) systems with targeted power and energy budget goals introduces significant …

Next-generation supercomputers are expected to have more components and, at the same
time, consume several times less energy per operation. Consequently, the number of soft …

With the ever-shrinking size of transistors, silent data corruptions (SDCs) are becoming a
common yet serious issue in HPC. Selective instruction duplication (SID) is a widely used …

Silent data corruption (SDC) poses a great challenge for high-performance computing
(HPC) applications as we move to extreme-scale systems. If not dealt with properly, SDC …

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) can have negative impact on large-scale infrastructure
services. SDCs are not captured by error reporting mechanisms within a Central Processing …