Photo from archive.org
Sign Up to like & get
recommendations!
1
Published in 2020 at "Microelectronics Reliability"
DOI: 10.1016/j.microrel.2020.113969
Abstract: Abstract Deep learning tasks cover a broad range of domains and an even more extensive range of applications, from entertainment to extremely safety-critical fields. Thus, Deep Neural Network (DNN) algorithms are implemented on different systems,…
read more here.
Keywords:
errors dnn;
dnn accelerators;
review;
comprehensive review ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2020 at "Radiation Effects and Defects in Solids"
DOI: 10.1080/10420150.2020.1759067
Abstract: ABSTRACT The 28 nm system-on-chip (SoC) was irradiated by 12 MeV electron at the China Institute of Atomic Energy (CIAE) for the first time. Soft errors in the on-chip memory (OCM), D-Cache, Register and BRAM blocks were…
read more here.
Keywords:
inducing soft;
electron inducing;
soft errors;
system chip ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2021 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2020.2987890
Abstract: The estimation of the frequency of the elements on a set is needed in a wide range of computing applications. For example, to estimate the number of hits that a video gets or the number…
read more here.
Keywords:
number;
memory;
soft error;
count min ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2022.3184274
Abstract: The great quest for adopting AI-based computation for safety-/mission-critical applications motivates the interest towards methods for assessing the robustness of the application w.r.t. not only its training/tuning but also errors due to faults, in particular…
read more here.
Keywords:
methodology;
fault injection;
error;
soft errors ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2022 at "IEEE Transactions on Cloud Computing"
DOI: 10.1109/tcc.2020.2973146
Abstract: Virtualized servers compose the majority of cloud computing environments, where these nodes are used to host multiple clients over the same hardware. Many organizations run online applications by hiring elastic computing resources in order to…
read more here.
Keywords:
errors mitigation;
soft errors;
mitigation strategies;
strategies virtualization ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
2
Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3141243
Abstract: Driven by the success of machine learning algorithms for recognizing and identifying objects, there are significant efforts to exploit convolutional neural networks (CNNs) in edge devices. The growing adoption of CNNs in safety-critical embedded systems…
read more here.
Keywords:
errors memory;
neural networks;
impact soft;
edge devices ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2018 at "IEEE Transactions on Device and Materials Reliability"
DOI: 10.1109/tdmr.2018.2873220
Abstract: Silicon-on-insulator (SOI) technology has been considered capable of developing devices with high tolerance against soft errors. In addition, with a thin buried oxide (BOX) layer, reduction in power consumption can be further achieved by applying…
read more here.
Keywords:
caused radiation;
potential perturbation;
box;
soft errors ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2020.3013746
Abstract: Estimating the number of distinct elements is required in many computing applications. For example, we may want to estimate the number of unique users accessing a service, or the number of different words in a…
read more here.
Keywords:
cardinality estimate;
error;
soft errors;
estimate hyperloglog ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
1
Published in 2017 at "IEEE Transactions on Nuclear Science"
DOI: 10.1109/tns.2016.2626005
Abstract: The frequency of neutron-induced soft errors is increasing as devices become more integrated and miniaturized. Therefore, it has become more important recently to check reliability of a recovery system from the soft errors in network…
read more here.
Keywords:
neutron source;
network;
compact accelerator;
soft errors ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
1
Published in 2018 at "IEEE Transactions on Nuclear Science"
DOI: 10.1109/tns.2018.2852606
Abstract: This paper presents a dual-core lockstep (DCLS) implementation to protect hard-core processors against radiation-induced soft errors. The proposed DCLS is applied to an Advanced RISC Machine Cortex-A9 embedded processor. Different software optimizations were evaluated to…
read more here.
Keywords:
dual core;
implementation;
core;
performance ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
0
Published in 2020 at "IEEE Transactions on Nuclear Science"
DOI: 10.1109/tns.2020.2993637
Abstract: A mathematical model is described to predict microprocessor fault tolerance under radiation. The model is empirically trained by combining data from simulated fault-injection campaigns and radiation experiments, both with protons (at the National Center of…
read more here.
Keywords:
radiation;
mathematical model;
model;
microprocessor ... See more keywords