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 …

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 …

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 …

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 …

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. This situation is pushing …

Summary form only given. We examine several heuristic algorithms for the maximum
allowable workload (MAW) problem for real-time systems with tasks having variable …

Understanding the behavior of failures in large-scale systems is important in order to design
techniques to tolerate them. Reliability knowledge of resources can be used in numerous …