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Bastien Deveautour
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2020 – today
- 2024
- [c19]Ian O'Connor, Sara Mannaa, Alberto Bosio, Bastien Deveautour, Damien Deleruyelle, Tetiana Obukhova, Cédric Marchand, Jens Trommer, Çigdem Çakirlar, Bruno Neckel Wesling, Thomas Mikolajick, Oskar Baumgartner, Mischa Thesberg, David Pirker, Christoph Lenz, Zlatan Stanojevic, Markus Karner, Guilhem Larrieu, Sylvain Pelloquin, Konstantinous Moustakas, Jonas Müller, Giovanni Ansaloni, Alireza Amirshahi, David Atienza, Jean-Luc Rouas, Leila Ben Letaifa, Georgeta Bordeall, Charles Brazier, Chhandak Mukherjee, Marina Deng, Yifan Wang, Marc François, Houssem Rezgui
, Reveil Lucas, Cristell Maneux:
FVLLMONTI: The 3D Neural Network Compute Cube $(N^{2}C^{2})$ Concept for Efficient Transformer Architectures Towards Speech-to-Speech Translation. DATE 2024: 1-6 - [c18]Mahdi Taheri, Masoud Daneshtalab, Jaan Raik, Maksim Jenihhin, Salvatore Pappalardo, Paul Jiménez, Bastien Deveautour, Alberto Bosio:
SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN Accelerators. DDECS 2024: 19-24 - [c17]Marcello Traiola, Salvatore Pappalardo, Ali Piri, Annachiara Ruospo, Bastien Deveautour, Ernesto Sánchez, Alberto Bosio, Sepide Saeedi, Alessio Carpegna, Anil Bayram Gogebakan, Enrico Magliano, Alessandro Savino
Approximate Fault-Tolerant Neural Network Systems. ETS 2024: 1-10 - [c16]Alba Ordonez Rodriguez, Fabien Gilibert, Francois Paolini, Pascal Urard, Roberto Guizzetti, John Samuel, Remy Cellier, Lioua Labrak, Bastien Deveautour:
Artificial neural network-based solution for PSP MOSFET model card extraction. VLSID 2024: 6-12 - [c15]Mohammad Hasan Ahmadilivani, Alberto Bosio, Bastien Deveautour, Fernando Fernandes dos Santos, Juan-David Guerrero-Balaguera
Special Session: Reliability Assessment Recipes for DNN Accelerators. VTS 2024: 1-11 - [i1]Mahdi Taheri, Masoud Daneshtalab, Jaan Raik, Maksim Jenihhin, Salvatore Pappalardo, Paul Jiménez, Bastien Deveautour, Alberto Bosio:
SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN Accelerators. CoRR abs/2403.02946 (2024) - 2023
- [c14]Salvatore Pappalardo, Annachiara Ruospo, Ian O'Connor, Bastien Deveautour, Ernesto Sánchez, Alberto Bosio:
Resilience-Performance Tradeoff Analysis of a Deep Neural Network Accelerator. DDECS 2023: 181-186 - [c13]Salvatore Pappalardo, Ali Piri, Annachiara Ruospo, Ian O'Connor, Bastien Deveautour, Ernesto Sánchez, Alberto Bosio:
Investigating the effect of approximate multipliers on the resilience of a systolic array DNN accelerator. DFT 2023: 1-6 - [c12]Ali Piri, Salvatore Pappalardo, Salvatore Barone
Input-aware accuracy characterization for approximate circuits. DSN-W 2023: 179-182 - [c11]Rajendra Bishnoi, Sumit Diware, Anteneh Gebregiorgis, Simon Thomann, Sara Mannaa, Bastien Deveautour, Cédric Marchand, Alberto Bosio, Damien Deleruyelle, Ian O'Connor, Hussam Amrouch, Said Hamdioui:
Energy-efficient Computation-In-Memory Architecture using Emerging Technologies. ICM 2023: 325-334 - [c10]Salvatore Pappalardo, Annachiara Ruospo, Ian O'Connor, Bastien Deveautour, Ernesto Sánchez, Alberto Bosio:
A Fault Injection Framework for AI Hardware Accelerators. LATS 2023: 1-6 - 2022
- [c9]Ali Piri, Sepide Saeedi
Input-Aware Approximate Computing. AQTR 2022: 1-6 - [c8]Cristiana Bolchini, Alberto Bosio, Luca Cassano, Bastien Deveautour, Giorgio Di Natale, Antonio Miele, Ian O'Connor, Elena-Ioana Vatajelu:
Dependability of Alternative Computing Paradigms for Machine Learning: hype or hope? DDECS 2022: 7-13 - [c7]Alberto Bosio, Bastien Deveautour, Ian O'Connor:
Exploiting Approximate Computing for Efficient and Reliable Convolutional Neural Networks. ISVLSI 2022: 326 - [p1]Marcello Traiola
Test and Reliability of Approximate Hardware. Approximate Computing 2022: 233-266 - 2021
- [c6]Alberto Bosio, Ian O'Connor, Marcello Traiola
Emerging Computing Devices: Challenges and Opportunities for Test and Reliability*. ETS 2021: 1-10 - [c5]Bastien Deveautour, Marcello Traiola
Reducing Overprovision of Triple Modular Reduncancy Owing to Approximate Computing. IOLTS 2021: 1-7 - 2020
- [j2]Bastien Deveautour, Arnaud Virazel
On Using Approximate Computing to Build an Error Detection Scheme for Arithmetic Circuits. J. Electron. Test. 36(1): 33-46 (2020) - [c4]Bastien Deveautour, Marcello Traiola
QAMR: an Approximation-Based Fully Reliable TMR Alternative for Area Overhead Reduction. ETS 2020: 1-6 - [c3]Florence Azaïs, Serge Bernard, Mariane Comte, Bastien Deveautour, Sophie Dupuis, Hassan El Badawi, Marie-Lise Flottes, Patrick Girard, Vincent Kerzèrho, Laurent Latorre, François Lefèvre, Bruno Rouzeyre, Emanuele Valea
Development and Application of Embedded Test Instruments to Digital, Analog/RFs and Secure ICs. IOLTS 2020: 1-4
2010 – 2019
- 2018
- [c2]Bastien Deveautour, Arnaud Virazel
Is aproximate computing suitable for selective hardening of arithmetic circuits? DTIS 2018: 1-6 - 2017
- [j1]Imran Wali, Bastien Deveautour, Arnaud Virazel
A Low-Cost Reliability vs. Cost Trade-Off Methodology to Selectively Harden Logic Circuits. J. Electron. Test. 33(1): 25-36 (2017) - 2016
- [c1]Imran Wali, Bastien Deveautour, Arnaud Virazel
A low-cost susceptibility analysis methodology to selectively harden logic circuits. ETS 2016: 1-2
Coauthor Index
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