Resilience is a major roadblock for HPC executions on future exascale systems. These
systems will typically gather millions of CPU cores running up to a billion threads …

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 …

Variation in performance and power across manufactured parts and their operating
conditions is an accepted reality in modern microelectronic manufacturing processes with …

Performance benchmarks have been used over the years to compare different systems.
These benchmarks can be useful for researchers trying to determine how changes to the …

Increasing parallelism and transistor density, along with increasingly tighter energy and
peak power constraints, may force exposure of occasionally incorrect computation or …

The limited scalability of current bus topologies for systems on chips (SoCs) dictates the
adoption of networks on chips (NoCs) as a scalable interconnection scheme. Current SoCs …

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 …

Reliability is a serious concern for future extreme-scale high-performance computing (HPC)
systems. While the HPC community has developed various resilience solutions, the solution …

The use of stochastic processing hardware and low precision arithmetic in atmospheric
models is investigated. Stochastic processors allow hardware-induced faults in calculations …

MapReduce is a computing paradigm that has gained a lot of popularity as it allows non-
expert users to easily run complex analytical tasks at very large-scale. At such scale, task …