FF
Fernando Fernandes dos Santos
94%
Libre accès
16
Documents
Affiliations actuelles
Publications
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Can GPU Performance Increase Faster Than the Code Error Rate?Journal of Supercomputing, inPress, pp.1-32
Article dans une revue
hal-04528798v1
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Assessing the Impact of Compiler Optimizations on GPUs ReliabilityACM Transactions on Architecture and Code Optimization, 2024, 21 (2), pp.1-22. ⟨10.1145/3638249⟩
Article dans une revue
hal-04398273v1
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Impact of High-Level-Synthesis on Reliability of Artificial Neural Network Hardware AcceleratorsIEEE Transactions on Nuclear Science, 2024, pp.1-9. ⟨10.1109/TNS.2024.3377596⟩
Article dans une revue
hal-04514579v1
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Characterizing a Neutron-Induced Fault Model for Deep Neural NetworksIEEE Transactions on Nuclear Science, inPress
Article dans une revue
hal-03865253v2
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An Effective Method to Identify Microarchitectural Vulnerabilities in GPUsIEEE Transactions on Device and Materials Reliability, 2022, pp.1-14. ⟨10.1109/TDMR.2022.3166260⟩
Article dans une revue
hal-03669439v1
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Cross-Layer Reliability Evaluation and Efficient Hardening of Large Vision Transformers ModelsDesign Automation Conference (DAC), Jun 2024, San Fracisco, United States
Communication dans un congrès
hal-04456702v1
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Reliability evaluation of Convolutional Neural Network's basic operations on a RISC-V processorNSREC 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-04047058v1
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Impact of High-Level-Synthesis on Reliability of Neural Network Hardware AcceleratorsNSREC 2023 - IEEE Nuclear & Space Radiation Effects Conference, Jul 2023, Kansas City (US), United States. pp.1-5
Communication dans un congrès
hal-04113282v2
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Understanding and Improving GPUs' Reliability Combining Beam Experiments with Fault SimulationITC 2023 - IEEE International Test Conference, Oct 2023, Anaheim, United States. pp.176-185, ⟨10.1109/ITC51656.2023.00034⟩
Communication dans un congrès
hal-04398063v1
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Performance-Reliability Trade-Off in Graphics Processing UnitsRADiation Effects on Components and Systems (RADECS), Oct 2022, Venice, Italy
Communication dans un congrès
hal-03680872v1
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Characterizing Deep Neural Networks Neutrons-Induced Error ModelNSREC 2022 - IEEE Nuclear & Space Radiation Effects Conference, Jul 2022, Provo, United States. pp.1-5
Communication dans un congrès
hal-03652138v1
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Experimental evaluation of neutron-induced errors on a multicore RISC-V platformIOLTS 2022 - 28th IEEE International Symposium on OnLine Testing and Robust System Design, Sep 2022, Torino, Italy. pp.1-7
Communication dans un congrès
hal-03697265v1
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Evaluating the Impact of Mixed-Precision on Fault Propagation for Deep Neural Networks on GPUsISVLSI 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-03903347v1
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Special session: How approximate computing impacts verification, test and reliability36th VLSI Test Symposium (VTS), Apr 2018, San Francisco, CA, United States. ⟨10.1109/VTS.2018.8368628⟩
Communication dans un congrès
lirmm-02421106v1
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Experimental evaluation of neutron-induced errors on a RISC-V processorRISC-V Week 2022, May 2022, Paris, France
Poster de conférence
hal-03903370v1
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Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead2022
Pré-publication, Document de travail
hal-03684224v1
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