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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,…
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Keywords:
errors dnn;
dnn accelerators;
review;
comprehensive review ... See more keywords
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Published in 2025 at "Journal of Nuclear Science and Technology"
DOI: 10.1080/00223131.2025.2462190
Abstract: ABSTRACT The susceptibility of 28 nm static random access memory (SRAM)-based field programmable gate arrays (FPGAs) to soft errors was evaluated using alpha particles and atmospheric neutrons at the China Spallation Neutron Source (CSNS). A single…
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Keywords:
programmable gate;
field programmable;
alpha particles;
particles atmospheric ... See more keywords
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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…
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Keywords:
inducing soft;
electron inducing;
soft errors;
system chip ... See more keywords
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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…
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Keywords:
number;
memory;
soft error;
count min ... See more keywords
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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…
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Keywords:
methodology;
fault injection;
error;
soft errors ... See more keywords
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Published in 2025 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2024.3475588
Abstract: A basic operation in big data analysis is to find the cardinality estimate; to estimate the cardinality at high speed and with a low memory requirement, data sketches that provide approximate estimates, are usually used.…
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Keywords:
protection;
analysis;
kmv;
cardinality estimate ... See more keywords
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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…
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Keywords:
errors mitigation;
soft errors;
mitigation strategies;
strategies virtualization ... See more keywords
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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…
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Keywords:
errors memory;
neural networks;
impact soft;
edge devices ... See more keywords
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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…
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Keywords:
caused radiation;
potential perturbation;
box;
soft errors ... See more keywords
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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…
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Keywords:
cardinality estimate;
error;
soft errors;
estimate hyperloglog ... See more keywords
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Published in 2024 at "IEEE Transactions on Emerging Topics in Computing"
DOI: 10.1109/tetc.2023.3324331
Abstract: Quantile estimation is a fundamental task in Big Data analysis. In order to achieve high-speed estimation with low memory consumption, especially for streaming Big Data processing, data sketches which provide approximate estimates at low overhead…
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Keywords:
memory;
kll;
reliability;
evaluation ... See more keywords