Machine learning is among the greatest advancements in computer science and
engineering and is today used to classify or detect objects, a key feature in autonomous …

Fault injection in early microarchitecture-level simulation CPU models and beam
experiments on the final physical CPU chip are two established methodologies to access the …

Extensive research efforts are being carried out to evaluate and improve the reliability of
computing devices either through beam experiments or simulation-based fault injection …

Miniaturization of integrated circuits brings more devices (thus more functionality) on the
same silicon area but also makes them more vulnerable to soft (transient) errors …

Cross-layer reliability is becoming the preferred solution when reliability is a concern in the
design of a microprocessor-based system. Nevertheless, deciding how to distribute the error …

In this paper, we present a fine-grained characterization of the impact of transient faults (soft
errors) on program execution for different compiler optimization levels and two out-of-order …

Graphics Processing Units (GPUs) have moved from being dedicated devices for multimedia
and gaming applications to general-purpose accelerators employed in High-Performance …

The reliability evaluation of deep neural networks (DNNs) executed on graphic processing
units (GPUs) is a challenging problem, since the hardware architecture is highly complex …

Graphics Processing Units (GPUs) compilers have evolved in order to support general-
purpose programming languages for multiple architectures. NVIDIA CUDA Compiler …

Recent years have witnessed the growth of the adoption of cyber-physical systems (CPSs)
in many sectors, such as automotive, aerospace, civil infrastructures, and healthcare …