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 …

Reproducibility is widely acknowledged as a fundamental principle in scientific research.
Currently, the scientific community grapples with numerous challenges associated with …

This chapter provides an introduction to resilience methods. The emphasis is on
checkpointing, the de-facto standard technique for resilience in High Performance …

Faults have become the norm rather than the exception for high-end computing clusters.
Exacerbating this situation, some of these faults remain undetected, manifesting themselves …

Resiliency of exascale systems has quickly become an important concern for the scientific
community. Despite its importance, still much remains to be determined regarding how faults …

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

In scientific applications that involve dense matrices, checksum encodings have yielded"
algorithm-based fault tolerance"(ABFT) in the event of data corruption from either hard or …

We show how to use the idea of self-stabilization, which originates in the context of
distributed control, to make fault-tolerant iterative solvers. Generally, a self-stabilizing system …

Extreme-scale scientific applications are at a significant risk of being hit by soft errors on
supercomputers as the scale of these systems and the component density continues to …

There is a growing concern about the increasing vulnerability of future computing systems to
errors in the underlying hardware. Traditional redundancy techniques are expensive for …