FF

Fernando Fernandes dos Santos

96%
Libre accès
27
Documents

Publications

Publications

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Impact of Radiation-Induced Effects on Embedded GPUs Executing Large Machine Learning Models

Bruno Loureiro Coelho , Fernando Fernandes dos Santos , Matteo Saveriano , Gregory Allen , Andrew Daniel et al.
IEEE Transactions on Nuclear Science, In press, pp.1-10
Article dans une revue hal-04887365 v1
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Can GPU Performance Increase Faster Than the Code Error Rate?

Fernando Fernandes dos Santos , Paolo Rech
Journal of Supercomputing, In press, pp.1-32. ⟨10.1007/s11227-024-06119-4⟩
Article dans une revue hal-04528798 v1
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Challenges in Assessing and Improving Deep Neural Networks Reliability

Fernando Fernandes dos Santos , Paolo Rech
IEEE Design & Test, In press, pp.1-6
Article dans une revue hal-04748638 v1
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Impact of High-Level-Synthesis on Reliability of Artificial Neural Network Hardware Accelerators

Marcello Traiola , Fernando Fernandes dos Santos , Paolo Rech , Carlo Cazzaniga , Olivier Sentieys et al.
IEEE Transactions on Nuclear Science, 2024, pp.1-9. ⟨10.1109/TNS.2024.3377596⟩
Article dans une revue hal-04514579 v1
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Assessing the Impact of Compiler Optimizations on GPUs Reliability

Fernando Fernandes dos Santos , Luigi Carro , Flavio Vella , Paolo Rech
ACM Transactions on Architecture and Code Optimization, 2024, 21 (2), pp.1-22. ⟨10.1145/3638249⟩
Article dans une revue hal-04398273 v1
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Improving Deep Neural Network Reliability via Transient-Fault-Aware Design and Training

Fernando Fernandes dos Santos , Niccolò Cavagnero , Marco Ciccone , Giuseppe Averta , Angeliki Kritikakou et al.
IEEE Transactions on Emerging Topics in Computing, In press, pp.1-12
Article dans une revue hal-04818068 v1
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An Effective Method to Identify Microarchitectural Vulnerabilities in GPUs

Josie Rodriguez Condia , Paolo Rech , Fernando Fernandes dos Santos , Luigi Carro , Matteo Sonza Reorda
IEEE Transactions on Device and Materials Reliability, 2022, pp.1-14. ⟨10.1109/TDMR.2022.3166260⟩
Article dans une revue hal-03669439 v1
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Characterizing a Neutron-Induced Fault Model for Deep Neural Networks

Fernando Fernandes dos Santos , Angeliki Kritikakou , Josie Esteban Rodriguez Condia , Juan David Guerrero Balaguera , Matteo Sonza Reorda et al.
IEEE Transactions on Nuclear Science, In press
Article dans une revue hal-03865253 v2
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Strategic Input Selection For Deep Neural Networks Reliability Evaluation

Lucas Roquet , Fernando Fernandes dos Santos , Maria Kastriotou , Angeliki Kritikakou
NSREC 2025 - IEEE Nuclear & Space Radiation Effects Conference, IEEE, Jul 2025, Nashville (Tennessee), United States. pp.1-5
Communication dans un congrès hal-05006303 v1
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MaxiMals: A Low-cost Hardening Technique for Large Vision Transformers

Lucas Roquet , Fernando Fernandes dos Santos , Paolo Rech , Marcello Traiola , Olivier Sentieys et al.
RADECS 2024 - Conference is an annual on RADiation Effects on Components and Systems, RADECS Association, Sep 2024, Maspalomas, Canary Islands, Spain. pp.1-5
Communication dans un congrès hal-04736704 v1
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Special Session: Reliability Assessment Recipes for DNN Accelerators

Mohammad Hasan Ahmadilivani , Alberto Bosio , Bastien Deveautour , Fernando Fernandes dos Santos , Juan David Guerrero Balaguera et al.
VTS 2024 - IEEE VLSI Test Symposium, Apr 2024, Tempe AZ USA, United States. pp.131788 - 131828, ⟨10.1109/access.2022.3229767⟩
Communication dans un congrès hal-04572731 v1
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Transient Fault Tolerant Semantic Segmentation for Autonomous Driving

Leonardo Iurada , Niccolò Cavagnero , Fernando Fernandes dos Santos , Giuseppe Averta , Paolo Rech et al.
UNCV 2024 - 3rd Workshop on Uncertainty Quantification for Computer Vision, Sep 2024, Milano, Italy. pp.1-6
Communication dans un congrès hal-04684784 v1
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Combining Fault Simulation and Beam Data for CNN Error Rate Estimation on RISC-V Commercial Platforms

Fernando Fernandes dos Santos , Marcello Traiola , Angeliki Kritikakou
IOLTS 2024 - 30th IEEE International Symposium on On-Line Testing and Robust System Design, INRIA/IRISA Rennes, Jul 2024, Rennes, France. pp.1-8
Communication dans un congrès hal-04638468 v1
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Reliability Assessment of Large DNN Models: Trading Off Performance and Accuracy

Junchao Chen , Giuseppe Esposito , Fernando Fernandes dos Santos , Juan-David Guerrero-Balaguera , Angeliki Kritikakou et al.
VLSI-SoC 2024 - IFIP/IEEE International Conference on Very Large Scale Integration, Delft University of Technology and University of Abdelmalek Saadi University, Oct 2024, Tanger, Morocco. pp.1-10, ⟨10.5286/ISIS.E.RB2300036)⟩
Communication dans un congrès hal-04736733 v1
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Reliability and Security of AI Hardware

Dennis Gnad , Jonas Krautter , Angeliki Kritikakou , Vincent Meyers , Paolo Rech et al.
ETS 2024 - 29th IEEE European Test Symposium, May 2024, The Hague, Netherlands. pp.1-10
Communication dans un congrès hal-04577494 v1
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Cross-Layer Reliability Evaluation and Efficient Hardening of Large Vision Transformers Models

Lucas Roquet , Fernando Fernandes dos Santos , Paolo Rech , Marcello Traiola , Olivier Sentieys et al.
Design Automation Conference (DAC), Jun 2024, San Francisco, United States
Communication dans un congrès hal-04456702 v1
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Neutron-Induced Error Rate of Vision Transformer Models on GPUs

Fernando Fernandes dos Santos , Paolo Rech , Angeliki Kritikakou , Olivier Sentieys
RADECS - RADiation and its Effects on Components and Systems Conference, Sep 2023, Toulouse, France
Communication dans un congrès hal-04124814 v1
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Reliability evaluation of Convolutional Neural Network's basic operations on a RISC-V processor

Fernando Fernandes dos Santos , Angeliki Kritikakou , Olivier Sentieys
NSREC 2023 - IEEE Nuclear & Space Radiation Effects Conference, IEEE Nuclear and Plasma Sciences Society (NPSS), Jul 2023, Kansas City, MO, United States. pp.1-6
Communication dans un congrès hal-04047058 v1
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Impact of High-Level-Synthesis on Reliability of Neural Network Hardware Accelerators

Marcello Traiola , Fernando Fernandes Dos Santos , Olivier Sentieys , Angeliki Kritikakou
NSREC 2023 - IEEE Nuclear & Space Radiation Effects Conference, Jul 2023, Kansas City (US), United States. pp.1-5
Communication dans un congrès hal-04113282 v2
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Understanding and Improving GPUs' Reliability Combining Beam Experiments with Fault Simulation

Fernando Fernandes dos Santos , Luigi Carro , Paolo Rech
ITC 2023 - IEEE International Test Conference, Oct 2023, Anaheim, United States. pp.176-185, ⟨10.1109/ITC51656.2023.00034⟩
Communication dans un congrès hal-04398063 v1
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Performance-Reliability Trade-Off in Graphics Processing Units

Fernando Fernandes dos Santos , Paolo Rech
RADiation Effects on Components and Systems (RADECS), Oct 2022, Venice, Italy
Communication dans un congrès hal-03680872 v1
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Experimental evaluation of neutron-induced errors on a multicore RISC-V platform

Fernando Fernandes dos Santos , Angeliki Kritikakou , Olivier Sentieys
IOLTS 2022 - 28th IEEE International Symposium on OnLine Testing and Robust System Design, Sep 2022, Torino, Italy. pp.1-7
Communication dans un congrès hal-03697265 v1
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Characterizing Deep Neural Networks Neutrons-Induced Error Model

Fernando Fernandes dos Santos , Angeliki Kritikakou , Olivier Sentieys , Paolo Rech
NSREC 2022 - IEEE Nuclear & Space Radiation Effects Conference, Jul 2022, Provo, United States. pp.1-5
Communication dans un congrès hal-03652138 v1
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Evaluating the Impact of Mixed-Precision on Fault Propagation for Deep Neural Networks on GPUs

Fernando Fernandes dos Santos , Paolo Rech , Angeliki Kritikakou , Olivier Sentieys
ISVLSI 2022 - IEEE Computer Society Annual Symposium on VLSI, Jul 2022, Nicosia, Italy. pp.327-327, ⟨10.1109/ISVLSI54635.2022.00071⟩
Communication dans un congrès hal-03903347 v1

Special session: How approximate computing impacts verification, test and reliability

Lukas Sekanina , Zdeněk Vašíček , Alberto Bosio , Marcello Traiola , Paolo Rech et al.
36th VLSI Test Symposium (VTS), Apr 2018, San Francisco, CA, United States. ⟨10.1109/VTS.2018.8368628⟩
Communication dans un congrès lirmm-02421106 v1