Artificial neural networks for space and safety-critical applications: Reliability issues and potential solutions
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 …
engineering and is today used to classify or detect objects, a key feature in autonomous …
A survey on deep learning resilience assessment methodologies
Deep learning (DL) reliability is becoming a growing concern, and efficient reliability
assessment approaches are required to meet safety constraints. This article presents a …
assessment approaches are required to meet safety constraints. This article presents a …
Assessment of the impact of the freshman engineering courses
D Budny, G Bjedov, W LeBold - … and Learning in an Era of …, 1997 - ieeexplore.ieee.org
This study is based on historical data for a 28 year period, from 1966 through 1993. The
study evaluates if the freshmen engineering courses supply the entering engineering …
study evaluates if the freshmen engineering courses supply the entering engineering …
A multi-level approach to evaluate the impact of gpu permanent faults on cnn's reliability
Graphics processing units (GPUs) are widely used to accelerate Artificial Intelligence
applications, such as those based on Convolutional Neural Networks (CNNs). Since in …
applications, such as those based on Convolutional Neural Networks (CNNs). Since in …
Revealing gpus vulnerabilities by combining register-transfer and software-level fault injection
The complexity of both hardware and software makes GPUs reliability evaluation extremely
challenging. A low level fault injection on a GPU model, despite being accurate, would take …
challenging. A low level fault injection on a GPU model, despite being accurate, would take …
Availability evaluation and sensitivity analysis of a mobile backend‐as‐a‐service platform
Performance evaluation of mobile applications has received considerable attention as a
prominent activity for improving services quality. Because many data stored on mobile …
prominent activity for improving services quality. Because many data stored on mobile …
A fast, flexible, and easy-to-develop FPGA-based fault injection technique
By technology down scaling in nowadays digital circuits, their sensitivity to radiation effects
increases, making the occurrence of soft errors more probable. As a consequence, soft error …
increases, making the occurrence of soft errors more probable. As a consequence, soft error …
SCFIT: A FPGA-based fault injection technique for SEU fault model
In this paper, we have proposed a fast and easy-to-develop FPGA-based fault injection
technique. This technique uses the Altera FPGAs debugging facilities in order to inject SEU …
technique. This technique uses the Altera FPGAs debugging facilities in order to inject SEU …
Soft error mitigation for SRAM-based FPGAs
FPGA-based designs are more susceptible to single-event up-sets (SEUs) compared to
ASIC designs, since SEUs in configuration bits of FPGAs result in permanent errors in the …
ASIC designs, since SEUs in configuration bits of FPGAs result in permanent errors in the …
Dependability analysis using a fault injection tool based on synthesizability of HDL models
This paper presents a fault injection tool called SINJECT that supports several synthesizable
and non-synthesizable fault models for dependability analysis of digital systems modeled by …
and non-synthesizable fault models for dependability analysis of digital systems modeled by …