Recent trends of aggressive technology scaling have greatly exacerbated the occurrences
and impact of faults in computing systems. This has madereliability'a first-order design …

We present here a report produced by a workshop on 'Addressing failures in exascale
computing'held in Park City, Utah, 4–11 August 2012. The charter of this workshop was to …

As GPUs become more pervasive in both scalable high-performance computing systems
and safety-critical embedded systems, evaluating and analyzing their resilience to soft errors …

As machine learning (ML) becomes pervasive in high performance computing, ML has
found its way into safety-critical domains (eg, autonomous vehicles). Thus the reliability of …

In this paper, we revisit the system vulnerability stack for transient faults. We reveal severe
pitfalls in widely used vulnerability measurement approaches, which separate the hardware …

Hardware errors are on the rise with reducing feature sizes, however tolerating them in
hardware is expensive. Researchers have explored software-based techniques for building …

Memory devices represent a key component of datacenter total cost of ownership (TCO),
and techniques used to reduce errors that occur on these devices increase this cost. Existing …

The adoption of deep neural networks (DNNs) in safety-critical domains has engendered
serious reliability concerns. A prominent example is hardware transient faults that are …

Deep neural network (DNN) training workloads are increasingly susceptible to hardware
failures in datacenters. For example, Google experienced" mysterious, difficult to identify …

As technology scales to lower feature sizes, devices become more susceptible to soft errors.
Soft errors can lead to silent data corruptions (SDCs), seriously compromising the reliability …