Performance and power constraints come together with Complementary Metal Oxide
Semiconductor technology scaling in future Exascale systems. Technology scaling makes …

In this paper, we present supervision-by-registration, an unsupervised approach to improve
the precision of facial landmark detectors on both images and video. Our key observation is …

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 …

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 …

Progress in numerical weather and climate prediction accuracy greatly depends on the
growth of the available computing power. As the number of cores in top computing facilities …

Extensive researches have been done on developing and optimizing algorithm-based fault
tolerance (ABFT) schemes for systolic arrays and general purpose microprocessors …

With the rate of errors that can silently effect an application's state/output expected to
increase on future HPC machines, numerous application-level detection and recovery …

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

As we move toward exascale platforms, silent data corruptions (SDC) are likely to occur
more frequently. Such errors can lead to incorrect results. Attempts have been made to use …

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 …