Convolutional Neural Networks (CNNs) are being increasingly used in safety-critical and
high-performance computing systems. As such systems require high levels of resilience to …

This paper discusses principles and techniques to evaluate processors for dependable
computing in space applications. The focus is on soft errors, which dominate the failure rate …

Application execution on safety-critical and high-performance computer systems must be
resilient to transient errors. As GPUs become more pervasive in such systems, they must …

As Convolutional Neural Networks (CNNs) are increasingly being employed in safety-critical
applications, it is important that they behave reliably in the face of hardware errors. Transient …

This paper describes a reconfigurable architecture for an on-board processor to be used in
space exploration critical systems. It relies on, a dynamically reconfigurable multi …

The Arm Triple Core Lock-Step (TCLS) architecture is the natural evolution of Arm Cortex-R
Dual Core Lock-Step (DCLS) processors to increase dependability, predictability, and …

This paper presents the results collected in a series of fault injection experiments conducted
on a modern commercial embedded ARM Cortex-R5 processor, which is extensively used in …

Dual-Core Lockstep (DCLS) is one of the most commonly used techniques in applications
requiring functional safety. As the semiconductor process nodes keep shrinking, the DCLS …

NVMe is designed to unshackle flash from a traditional storage bus by allowing hosts to
employ many threads to achieve higher bandwidth. While NVMe enables users to fully …

In the recent years particle filtering has been the dominant paradigm for tracking facial and
body features, recognizing temporal events and reasoning in uncertainty. A major problem …