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Paolo Rech
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- affiliation: University of Trento, Italy
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2020 – today
- 2024
- [j18]Fernando Fernandes dos Santos
, Luigi Carro
Assessing the Impact of Compiler Optimizations on GPUs Reliability. ACM Trans. Archit. Code Optim. 21(2): 26 (2024) - [j17]Daniel Oliveira
A Systematic Methodology to Compute the Quantum Vulnerability Factors for Quantum Circuits. IEEE Trans. Dependable Secur. Comput. 21(4): 2631-2644 (2024) - [j16]Fernando Fernandes dos Santos, Paolo Rech:
Can GPU performance increase faster than the code error rate? J. Supercomput. 80(12): 16918-16946 (2024) - [c83]Lucas Roquet
Cross-Layer Reliability Evaluation and Efficient Hardening of Large Vision Transformers Models. DAC 2024: 291:1-291:6 - [c82]Dennis Gnad, Martin Gotthard, Jonas Krautter, Angeliki Kritikakou, Vincent Meyers, Paolo Rech, Josie E. Rodriguez Condia, Annachiara Ruospo, Ernesto Sánchez, Fernando Fernandes dos Santos, Olivier Sentieys, Mehdi B. Tahoori, Russell Tessier, Marcello Traiola:
Reliability and Security of AI Hardware. ETS 2024: 1-10 - [c81]Bruno Forlin, Edian B. Annink, Elijah Cishugi, Carlo Cazzaniga, Paolo Rech, Gerard K. Rauwerda, Gianluca Furano, Marco Ottavi:
Neutron Beam Evaluation of Probabilistic Data Structure-based Online Checkers. IOLTS 2024: 1-6 - [c80]Gabriel Freytag
Interleaved Execution of Approximated CUDA Kernels in Iterative Applications. PDP 2024: 60-67 - [i12]Marzio Vallero, Flavio Vella, Paolo Rech:
State of practice: evaluating GPU performance of state vector and tensor network methods. CoRR abs/2401.06188 (2024) - [i11]Michael Rogenmoser, Philip Wiese, Bruno E. Forlin, Frank K. Gürkaynak, Paolo Rech, Alessandra Menicucci, Marco Ottavi, Luca Benini:
Design and Experimental Investigation of Trikarenos: A Fault-Tolerant 28nm RISC-V-based SoC. CoRR abs/2407.05938 (2024) - [i10]Marzio Vallero, Gioele Casagranda, Flavio Vella, Paolo Rech:
On the Efficacy of Surface Codes in Compensating for Radiation Events in Superconducting Devices. CoRR abs/2407.10841 (2024) - [i9]Edoardo Giusto, Santiago Nuñez-Corrales, Phuong Cao, Alessandro Cilardo, Ravishankar K. Iyer, Weiwen Jiang, Paolo Rech, Flavio Vella, Bartolomeo Montrucchio, Samudra Dasgupta, Travis S. Humble:
Dependable Classical-Quantum Computer Systems Engineering. CoRR abs/2408.10484 (2024) - [i8]Leonardo Iurada, Niccolò Cavagnero, Fernando Fernandes dos Santos, Giuseppe Averta, Paolo Rech, Tatiana Tommasi:
Transient Fault Tolerant Semantic Segmentation for Autonomous Driving. CoRR abs/2408.16952 (2024) - 2023
- [j15]Pablo R. Bodmann
Soft Error Effects on Arm Microprocessors: Early Estimations Versus Chip. Computer 56(7): 4-6 (2023) - [j14]Fabiano Libano
Efficient Error Detection for Matrix Multiplication With Systolic Arrays on FPGAs. IEEE Trans. Computers 72(8): 2390-2403 (2023) - [c79]Kevin Böhmer, Bruno Forlin, Carlo Cazzaniga, Paolo Rech, Gianluca Furano, Nikolaos Alachiotis, Marco Ottavi
Neutron Radiation Tests of the NEORV32 RISC-V SoC on Flash-Based FPGAs. DFT 2023: 1-6 - [c78]Edoardo Giusto
Quantum Computing Reliability: Problems, Tools, and Potential Solutions. DSN-S 2023: 2-3 - [c77]Bruno E. Forlin, Wouter van Huffelen, Carlo Cazzaniga, Paolo Rech, Nikolaos Alachiotis, Marco Ottavi
An unprotected RISC-V Soft-core processor on an SRAM FPGA: Is it as bad as it sounds? ETS 2023: 1-6 - [c76]Fernando Fernandes dos Santos, Luigi Carro, Paolo Rech:
Understanding and Improving GPUs' Reliability Combining Beam Experiments with Fault Simulation. ETS 2023: 1-10 - [c75]Fernando Fernandes dos Santos, Luigi Carro, Paolo Rech:
Understanding and Improving GPUs' Reliability Combining Beam Experiments with Fault Simulation. ITC 2023: 176-185 - [c74]Nicola Dilillo
Understanding the Effect of Transpilation in the Reliability of Quantum Circuits. QCE 2023: 232-235 - [c73]Juan-David Guerrero-Balaguera
Understanding the Effects of Permanent Faults in GPU's Parallelism Management and Control Units. SC 2023: 46:1-46:14 - [d1]Daniel Oliveira, Edoardo Giusto
Dataset for A Systematic Methodology to Compute the Quantum Vulnerability Factors for Quantum Circuits. IEEE DataPort, 2023 - [i7]Juan-David Guerrero-Balaguera
Understanding the Effects of Permanent Faults in GPU's Parallelism Management and Control Units. CoRR abs/2306.10856 (2023) - 2022
- [j13]Fernando Fernandes dos Santos
Reduced Precision DWC: An Efficient Hardening Strategy for Mixed-Precision Architectures. IEEE Trans. Computers 71(3): 573-586 (2022) - [j12]Pablo Bodmann, George Papadimitriou
Soft Error Effects on Arm Microprocessors: Early Estimations versus Chip Measurements. IEEE Trans. Computers 71(10): 2358-2369 (2022) - [c72]Rubens Luiz Rech Junior, Paolo Rech:
Reliability of Google's Tensor Processing Units for Embedded Applications. DATE 2022: 376-381 - [c71]Rubens Luiz Rech Junior, Paolo Rech:
Reliability of Google's Tensor Processing Units for Convolutional Neural Networks. DSN (Supplements) 2022: 25-27 - [c70]Daniel Oliveira, Edoardo Giusto
QuFI: a Quantum Fault Injector to Measure the Reliability of Qubits and Quantum Circuits. DSN 2022: 137-149 - [c69]Gabriel Freytag
Impact of Reduced and Mixed-Precision on the Efficiency of a Multi-GPU Platform on CFD Applications. ICCSA (Workshops 4) 2022: 570-587 - [c68]Nadir Casciola, Edoardo Giusto
Understanding the Impact of Cutting in Quantum Circuits Reliability to Transient Faults. IOLTS 2022: 1-7 - [c67]Niccolò Cavagnero, Fernando Fernandes dos Santos, Marco Ciccone, Giuseppe Averta, Tatiana Tommasi, Paolo Rech:
Transient-Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead. IOLTS 2022: 1-7 - [c66]Fernando Fernandes dos Santos, Paolo Rech, Angeliki Kritikakou, Olivier Sentieys:
Evaluating the Impact of Mixed-Precision on Fault Propagation for Deep Neural Networks on GPUs. ISVLSI 2022: 327 - [c65]Josie E. Rodriguez Condia
A Multi-level Approach to Evaluate the Impact of GPU Permanent Faults on CNN's Reliability. ITC 2022: 278-287 - [e1]Alessandro Savino, Paolo Rech, Stefano Di Carlo, Dimitris Gizopoulos:
28th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2022, Torino, Italy, September 12-14, 2022. IEEE 2022, ISBN 978-1-6654-7355-2 [contents] - [i6]Daniel Oliveira, Edoardo Giusto, Emanuele Dri
QuFI: a Quantum Fault Injector to Measure the Reliability of Qubits and Quantum Circuits. CoRR abs/2203.07183 (2022) - [i5]Niccolò Cavagnero, Fernando Fernandes dos Santos, Marco Ciccone, Giuseppe Averta, Tatiana Tommasi, Paolo Rech:
Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead. CoRR abs/2205.14420 (2022) - [i4]Fernando Fernandes dos Santos, Angeliki Kritikakou, Josie Esteban Rodriguez Condia
Characterizing a Neutron-Induced Fault Model for Deep Neural Networks. CoRR abs/2211.13094 (2022) - 2021
- [j11]Gabriel Freytag
Collaborative execution of fluid flow simulation using non-uniform decomposition on heterogeneous architectures. J. Parallel Distributed Comput. 152: 11-20 (2021) - [j10]Daniel Oliveira, Sean Blanchard, Nathan DeBardeleben, Fernando Fernandes dos Santos
Thermal neutrons: a possible threat for supercomputer reliability. J. Supercomput. 77(2): 1612-1634 (2021) - [c64]Fernando Fernandes dos Santos, Josie E. Rodriguez Condia
Revealing GPUs Vulnerabilities by Combining Register-Transfer and Software-Level Fault Injection. DSN 2021: 292-304 - [c63]Josie E. Rodriguez Condia
Protecting GPU's Microarchitectural Vulnerabilities via Effective Selective Hardening. IOLTS 2021: 1-7 - [c62]Fernando Fernandes dos Santos, Siva Kumar Sastry Hari, Pedro Martins Basso, Luigi Carro, Paolo Rech:
Demystifying GPU Reliability: Comparing and Combining Beam Experiments, Fault Simulation, and Profiling. IPDPS 2021: 289-298 - [c61]Pablo Bodmann, George Papadimitriou, Dimitris Gizopoulos, Paolo Rech:
The Impact of SoC Integration and OS Deployment on the Reliability of Arm Processors. ISPASS 2021: 223-225 - [c60]Josie E. Rodriguez Condia
Combining Architectural Simulation and Software Fault Injection for a Fast and Accurate CNNs Reliability Evaluation on GPUs. VTS 2021: 1-7 - [i3]Fernando Fernandes dos Santos, Sujit Malde, Carlo Cazzaniga, Christopher Frost, Luigi Carro, Paolo Rech:
Experimental Findings on the Sources of Detected Unrecoverable Errors in GPUs. CoRR abs/2108.00554 (2021) - [i2]Daniel Oliveira, Edoardo Giusto, Betis Baheri, Qiang Guan, Bartolomeo Montrucchio, Paolo Rech:
A Systematic Methodology to Compute the Quantum Vulnerability Factors for Quantum Circuits. CoRR abs/2111.07085 (2021) - 2020
- [c59]Rubens Luiz Rech Junior, Paolo Rech:
Impact of Layers Selective Approximation on CNNs Reliability and Performance. DFT 2020: 1-4 - [c58]Daniel Oliveira, Sean Blanchard, Nathan DeBardeleben, Fermando Santos, Gabriel Piscoya Dávila, Philippe Olivier Alexandre Navaux, Stephen Wender, Carlo Cazzaniga, Christopher Frost, Robert C. Baumann, Paolo Rech:
An Overview of the Risk Posed by Thermal Neutrons to the Reliability of Computing Devices. DSN (Supplements) 2020: 92-97 - [c57]Daniel Oliveira, Sean Blanchard, Nathan DeBardeleben, Fernando Fernandes dos Santos
Thermal Neutrons: a Possible Threat for Supercomputers and Safety Critical Applications. ETS 2020: 1-6 - [c56]Fernando Fernandes dos Santos
Reduced-Precision DWC for Mixed-Precision GPUs. IOLTS 2020: 1-6 - [c55]Marcelo Brandalero, Hector Gerardo Muñoz Hernandez, Mitko Veleski, Muhammed Al Kadi, Paolo Rech, Michael Hübner:
(Special Topic Submission) Enabling Domain-Specific Architectures with an Open-Source Soft-Core GPGPU. IPDPS Workshops 2020: 36-43 - [i1]Siva Kumar Sastry Hari, Paolo Rech, Timothy Tsai, Mark Stephenson, Arslan Zulfiqar, Michael B. Sullivan, Philip P. Shirvani, Paul Racunas, Joel S. Emer, Stephen W. Keckler:
Estimating Silent Data Corruption Rates Using a Two-Level Model. CoRR abs/2005.01445 (2020)
2010 – 2019
- 2019
- [j9]Fernando Fernandes dos Santos
Kernel and layer vulnerability factor to evaluate object detection reliability in GPUs. IET Comput. Digit. Tech. 13(3): 178-186 (2019) - [j8]Fernando Fernandes dos Santos
Analyzing and Increasing the Reliability of Convolutional Neural Networks on GPUs. IEEE Trans. Reliab. 68(2): 663-677 (2019) - [c54]Gabriel Piscoya Davila, Daniel Oliveira, Philippe O. A. Navaux, Paolo Rech:
Identifying the Most Reliable Collaborative Workload Distribution in Heterogeneous Devices. DATE 2019: 1325-1330 - [c53]Daniel Oliveira, Philippe O. A. Navaux, Paolo Rech:
Increasing the Efficiency and Efficacy of Selective-Hardening for Parallel Applications. DFT 2019: 1-6 - [c52]Fritz G. Previlon, Charu Kalra, David R. Kaeli, Paolo Rech:
A Comprehensive Evaluation of the Effects of Input Data on the Resilience of GPU Applications. DFT 2019: 1-6 - [c51]Athanasios Chatzidimitriou, Pablo Bodmann, George Papadimitriou, Dimitris Gizopoulos, Paolo Rech:
Demystifying Soft Error Assessment Strategies on ARM CPUs: Microarchitectural Fault Injection vs. Neutron Beam Experiments. DSN 2019: 26-38 - [c50]Fernando Fernandes dos Santos
Impact of Reduced Precision in the Reliability of Deep Neural Networks for Object Detection. ETS 2019: 1-6 - [c49]Fernando Fernandes dos Santos
Reliability Evaluation of Mixed-Precision Architectures. HPCA 2019: 238-249 - [c48]Lucas Klein Draghetti, Fernando Fernandes dos Santos, Luigi Carro, Paolo Rech:
Detecting Errors in Convolutional Neural Networks Using Inter Frame Spatio-Temporal Correlation. IOLTS 2019: 310-315 - [c47]Gabriel Piscoya Davila, Daniel Oliveira
Impact of Workload Distribution on Energy Consumption, Performance, and Reliability of Heterogeneous Devices. PDP 2019: 166-173 - [c46]Larissa Rozales Gonçalves, Lucas Klein Draghetti, Paolo Rech, Luigi Carro:
Using Frame Similarity for Low Energy Software-Only IoT Video Recognition. SAMOS 2019: 157-168 - [c45]Gabriel Freytag
Non-uniform Partitioning for Collaborative Execution on Heterogeneous Architectures. SBAC-PAD 2019: 128-135 - 2018
- [j7]Vinicius Fratin
Energy-Delay-FIT Product to compare processors and algorithm implementations. Microelectron. Reliab. 84: 112-120 (2018) - [c44]Fritz G. Previlon, Charu Kalra, David R. Kaeli, Paolo Rech
Evaluating the impact of execution parameters on program vulnerability in GPU applications. DATE 2018: 809-814 - [c43]Vinicius Fratin, Daniel Oliveira
Code-Dependent and Architecture-Dependent Reliability Behaviors. DSN 2018: 13-26 - [c42]Israel C. Lopes, Fabio Benevenuti, Fernanda Lima Kastensmidt, Altamiro Amadeu Susin, Paolo Rech
Reliability analysis on case-study traffic sign convolutional neural network on APSoC. LATS 2018: 1-6 - [c41]Daniel Oliveira
Predicting the Reliability Behavior of HPC Applications. SBAC-PAD 2018: 124-131 - [c40]Fabio Benevenuti, Fabiano Libano, Vincent Pouget, Fernanda Lima Kastensmidt, Paolo Rech:
Comparative Analysis of Inference Errors in a Neural Network Implemented in SRAM-Based FPGA Induced by Neutron Irradiation and Fault Injection Methods. SBCCI 2018: 1-6 - [c39]Gabriel Freytag
Non-uniform Domain Decomposition for Heterogeneous Accelerated Processing Units. VECPAR 2018: 105-118 - [c38]Lukás Sekanina, Zdenek Vasícek, Alberto Bosio, Marcello Traiola
Special session: How approximate computing impacts verification, test and reliability. VTS 2018: 1 - 2017
- [c37]Thiago Santini, Christoph Borchert, Christian Dietrich
Effectiveness of Software-Based Hardening for Radiation-Induced Soft Errors in Real-Time Operating Systems. ARCS 2017: 3-15 - [c36]Daniel Oliveira
CAROL-FI: an Efficient Fault-Injection Tool for Vulnerability Evaluation of Modern HPC Parallel Accelerators. Conf. Computing Frontiers 2017: 295-298 - [c35]Lucas Weigel, Fernando Fernandes
Kernel vulnerability factor and efficient hardening for histogram of oriented gradients. DFT 2017: 1-6 - [c34]Fernando Fernandes dos Santos
Evaluation and Mitigation of Soft-Errors in Neural Network-Based Object Detection in Three GPU Architectures. DSN Workshops 2017: 169-176 - [c33]Daniel Alfonso Gonçalves de Oliveira
Radiation-Induced Error Criticality in Modern HPC Parallel Accelerators. HPCA 2017: 577-588 - [c32]Fritz G. Previlon, Babatunde Egbantan, Devesh Tiwari, Paolo Rech
Combining architectural fault-injection and neutron beam testing approaches toward better understanding of GPU soft-error resilience. MWSCAS 2017: 898-901 - [c31]Fernando Fernandes dos Santos
Analyzing the criticality of transient faults-induced SDCS on GPU applications. ScalA@SC 2017: 1:1-1:7 - [c30]Daniel Oliveira
Experimental and analytical study of Xeon Phi reliability. SC 2017: 28 - 2016
- [j6]Fernando Fernandes
Evaluation of Histogram of Oriented Gradients Soft Errors Criticality for Automotive Applications. ACM Trans. Archit. Code Optim. 13(4): 38:1-38:25 (2016) - [j5]Daniel Alfonso Gonçalves de Oliveira, Laércio Lima Pilla
Evaluation and Mitigation of Radiation-Induced Soft Errors in Graphics Processing Units. IEEE Trans. Computers 65(3): 791-804 (2016) - [j4]Thiago Santini, Paolo Rech
Beyond Cross-Section: Spatio-Temporal Reliability Analysis. ACM Trans. Embed. Comput. Syst. 15(1): 3:1-3:16 (2016) - 2015
- [c29]Lucas A. Tambara, Felipe Almeida, Paolo Rech
Measuring Failure Probability of Coarse and Fine Grain TMR Schemes in SRAM-based FPGAs Under Neutron-Induced Effects. ARC 2015: 331-338 - [c28]Thiago Santini, Paolo Rech
Exploiting cache conflicts to reduce radiation sensitivity of operating systems on embedded systems. CASES 2015: 49-58 - [c27]Devesh Tiwari, Saurabh Gupta, James H. Rogers, Don Maxwell, Paolo Rech
Understanding GPU errors on large-scale HPC systems and the implications for system design and operation. HPCA 2015: 331-342 - [c26]Daniel Alfonso Gonçalves de Oliveira
The Path to Exascale: Code Optimizations and Hardening Solutions Reliability. FTXS@HPDC 2015: 55-62 - [c25]Nathan DeBardeleben, Sean Blanchard, David R. Kaeli, Paolo Rech
Field, experimental, and analytical data on large-scale HPC systems and evaluation of the implications for exascale system design. VTS 2015: 1-2 - 2014
- [j3]Paolo Rech
GPUs Neutron Sensitivity Dependence on Data Type. J. Electron. Test. 30(3): 307-316 (2014) - [j2]Fernanda Lima Kastensmidt
Voltage scaling and aging effects on soft error rate in SRAM-based FPGAs. Microelectron. Reliab. 54(9-10): 2344-2348 (2014) - [j1]Davide Sabena, Matteo Sonza Reorda
Evaluating the radiation sensitivity of GPGPU caches: New algorithms and experimental results. Microelectron. Reliab. 54(11): 2621-2628 (2014) - [c24]Leonardo Arturo Bautista-Gomez, Franck Cappello, Luigi Carro, Nathan DeBardeleben, Bo Fang, Sudhanva Gurumurthi, Karthik Pattabiraman, Paolo Rech, Matteo Sonza Reorda
GPGPUs: How to combine high computational power with high reliability. DATE 2014: 1-9 - [c23]Lucas A. Tambara, Fernanda Lima Kastensmidt
Decreasing FIT with diverse triple modular redundancy in SRAM-based FPGAs. DFT 2014: 153-158 - [c22]Daniel A. G. de Oliveira
GPGPUs ECC efficiency and efficacy. DFT 2014: 209-215 - [c21]Paolo Rech
Impact of GPUs Parallelism Management on Safety-Critical and HPC Applications Reliability. DSN 2014: 455-466 - [c20]Daniel A. G. de Oliveira
Radiation Sensitivity of High Performance Computing Applications on Kepler-Based GPGPUs. DSN 2014: 732-737 - [c19]Fernanda Lima Kastensmidt
Aging and voltage scaling impacts under neutron-induced soft error rate in SRAM-based FPGAs. ETS 2014: 1-2 - [c18]Thiago Santini, Paolo Rech
Reducing embedded software radiation-induced failures through cache memories. ETS 2014: 1-6 - [c17]Hakob Hakobyan, Paolo Rech, Matteo Sonza Reorda
Early reliability evaluation of a biomédical system. IDT 2014: 45-50 - [c16]M. De Carvalho, Davide Sabena, Matteo Sonza Reorda
Fault injection in GPGPU cores to validate and debug robust parallel applications. IOLTS 2014: 210-211 - [c15]Giovanni Bruni, Paolo Rech
Power dissipation effects on 28nm FPGA-based System on Chips neutron sensitivity. VLSI-SoC 2014: 1-6 - 2013
- [c14]Paolo Rech
Experimental evaluation of thread distribution effects on multiple output errors in GPUs. ETS 2013: 1-6 - [c13]Paolo Rech
Neutron sensitivity and software hardening strategies for matrix multiplication and FFT on graphics processing units. FTXS 2013: 13-20 - [c12]Davide Sabena, Matteo Sonza Reorda
On the evaluation of soft-errors detection techniques for GPGPUs. IDT 2013: 1-6 - [c11]Paolo Rech
Experimental evaluation of GPUs radiation sensitivity and algorithm-based fault tolerance efficiency. IOLTS 2013: 244-247 - [c10]Lucas A. Tambara, Fernanda Lima Kastensmidt
Neutron-induced single event effects analysis in a SAR-ADC architecture embedded in a mixed-signal SoC. ISVLSI 2013: 188-193 - [c9]Paolo Rech
Neutron sensitivity of integer and floating point operations executed in GPUs. LATW 2013: 1-6 - 2012
- [c8]Paolo Rech
Neutron radiation test of graphic processing units. IOLTS 2012: 55-60 - 2011
- [c7]Luigi Dilillo, Paolo Rech
Neutron detection in atmospheric environment through static and dynamic SRAM-based test bench. LATW 2011: 1-6 - 2010
- [c6]Paolo Rech
A Memory Fault Simulator for Radiation-Induced Effects in SRAMs. Asian Test Symposium 2010: 100-105 - [c5]Paolo Rech
Analysis of root causes of alpha sensitivity variations on microprocessors manufactured using different cell layouts. IOLTS 2010: 29-34 - [c4]Jean-Marc Gallière, Paolo Rech
A roaming memory test bench for detecting particle induced SEUs. ITC 2010: 810
2000 – 2009
- 2009
- [c3]Paolo Rech, Simone Gerardin
Evaluating Alpha-induced soft errors in embedded microprocessors. IOLTS 2009: 69-74 - [c2]Davide Appello
DfT Reuse for Low-Cost Radiation Testing of SoCs: A Case Study. VTS 2009: 276-281 - 2007
- [c1]Andrea Manuzzato, Paolo Rech
Sensitivity Evaluation of TMR-Hardened Circuits to Multiple SEUs Induced by Alpha Particles in Commercial SRAM-Based FPGAs. DFT 2007: 79-86
Coauthor Index
Josie E. Rodriguez Condia
aka: Josie Esteban Rodriguez Condia
aka: Josie Esteban Rodriguez Condia
Fernanda Lima Kastensmidt
aka: Fernanda Gusmão de Lima Kastensmidt
aka: Fernanda Gusmão de Lima Kastensmidt
Philippe Olivier Alexandre Navaux
aka: Philippe O. A. Navaux
aka: Philippe O. A. Navaux
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