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 …

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 …

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 …

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 …

We propose AVGI, a new Statistical Fault Injection (SFI)-based methodology, which delivers
orders of magnitude faster assessment of the Architectural Vulnerability Factor (AVF) of a …

The Program Vulnerability Factor (PVF) has been proposed as a metric to understand the
impact of hardware faults on software. The PVF is calculated by identifying the program bits …

Virtual platform frameworks have been extended to allow earlier soft error analysis of more
realistic multicore systems (ie, real software stacks and state-of-the-art ISAs). The high …

Reliability evaluation of a microprocessor design may reveal vulnerable silicon areas that
require protection against faults, but also hardware structures that are inherently more …

Early reliability assessment of hardware structures using microarchitecture level simulators
can effectively guide major error protection decisions in microprocessor design. Statistical …

This paper presents Flame, a hardware/software co-designed resilience scheme for
protecting GPUs against soft errors. For low-cost yet high-performance resilience, Flame …