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ORCIDMatteo Sonza Reorda
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- affiliation: Polytechnic University of Turin, Italy
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2020 – today
- 2024
[j86]Josie E. Rodriguez Condia
, Juan-David Guerrero-Balaguera, Edward Javier Patiño Nuñez, Robert Limas Sierra, Matteo Sonza Reorda:
Investigating and Reducing the Architectural Impact of Transient Faults in Special Function Units for GPUs. J. Electron. Test. 40(2): 215-228 (2024)- [c433]V. Turco, Annachiara Ruospo, Ernesto Sánchez, Matteo Sonza Reorda:
Early Detection of Permanent Faults in DNNs Through the Application of Tensor-Related Metrics. DDECS 2024: 13-18 - [c432]Raghunandana K. K, Yogesh Prasad K. R, Matteo Sonza Reorda, Virendra Singh:
TCC: GPGPU Architecture for Instruction Decoder and Control Flow Error Detection. DDECS 2024: 104-109 - [c431]Nikolaos Ioannis Deligiannis, Riccardo Cantoro, Matteo Sonza Reorda, Serag E.-D. Habib:
Evaluating the Reliability of Integer Multipliers With Respect to Permanent Faults. DDECS 2024: 124-129 - [c430]Tobias Faller, Nikolaos Ioannis Deligiannis, Riccardo Cantoro, Matteo Sonza Reorda, Bernd Becker:
Special Session: Software-Based Self-Test Generation for RISC-V - Stuck-At Generation, Functional Cell-Aware Untestability, and FPGA Demonstration -. DFT 2024: 1-6 - [c429]Riccardo Cantoro, Michelangelo Grosso, Iacopo Guglielminetti, Reza Khoshzaban, Matteo Sonza Reorda:
Assessing the Effectiveness of Software-Based Self-Test Programs for Static Cell-Aware Test. ETS 2024: 1-4 - [c428]Josie E. Rodriguez Condia, Juan-David Guerrero-Balaguera, Robert Limas Sierra, Matteo Sonza Reorda:
Analyzing the Structural and Operational Impact of Faults in Floating-Point and Posit Arithmetic Cores for CNN Operations. ETS 2024: 1-4 - [c427]Michelangelo Bartolomucci, Nikolaos Ioannis Deligiannis, Riccardo Cantoro, Matteo Sonza Reorda:
Fault Grading Techniques for Evaluating Software-Based Self-Test with Respect to Small Delay Defects. IOLTS 2024: 1-6 - [c426]Giuseppe Esposito, Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Marco Levorato, Matteo Sonza Reorda:
Enhancing the Reliability of Split Computing Deep Neural Networks. IOLTS 2024: 1-7 - [c425]Francesco Pessia, Juan-David Guerrero-Balaguera, Robert Limas Sierra, Josie E. Rodriguez Condia, Marco Levorato, Matteo Sonza Reorda:
Effective Application-level Error Modeling of Permanent Faults on AI Accelerators. IOLTS 2024: 1-7 - [c424]Giuseppe Esposito, Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Marco Levorato, Matteo Sonza Reorda:
Assessing the Reliability of Different Split Computing Neural Network Applications. LATS 2024: 1-6 - [c423]Junchao Chen, Giuseppe Esposito, Fernando Fernandes dos Santos, Juan-David Guerrero-Balaguera, Angeliki Kritikakou, Milos Krstic, Robert Limas Sierra, Josie E. Rodriguez Condia, Matteo Sonza Reorda, Marcello Traiola, Alessandro Veronesi:
Reliability Assessment of Large DNN Models: Trading Off Performance and Accuracy. VLSI-SoC 2024: 1-10 - [c422]Mohammad Hasan Ahmadilivani, Alberto Bosio, Bastien Deveautour, Fernando Fernandes dos Santos, Juan-David Guerrero-Balaguera, Maksim Jenihhin, Angeliki Kritikakou, Robert Limas Sierra, Salvatore Pappalardo, Jaan Raik, Josie E. Rodriguez Condia, Matteo Sonza Reorda, Mahdi Taheri, Marcello Traiola:
Special Session: Reliability Assessment Recipes for DNN Accelerators. VTS 2024: 1-11 - [c421]Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Marco Levorato, Matteo Sonza Reorda:
Evaluating the Reliability of Supervised Compression for Split Computing. VTS 2024: 1-6 - [c420]Robert Limas Sierra, Juan-David Guerrero-Balaguera, Francesco Pessia, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
Analyzing the Impact of Scheduling Policies on the Reliability of GPUs Running CNN Operations. VTS 2024: 1-7 - [i13]Giuseppe Esposito, Juan-David Guerrero-Balaguera, Josie Esteban Rodriguez Condia, Matteo Sonza Reorda:
Evaluating Different Fault Injection Abstractions on the Assessment of DNN SW Hardening Strategies. CoRR abs/2412.08466 (2024) - 2023
- [j85]Francesco Angione, Davide Appello, Paolo Bernardi, Andrea Calabrese, Stefano Quer, Matteo Sonza Reorda, Vincenzo Tancorre, Roberto Ugioli:
A Toolchain to Quantify Burn-In Stress Effectiveness on Large Automotive System-on-Chips. IEEE Access 11: 105655-105676 (2023) - [j84]Josie E. Rodriguez Condia, Felipe Augusto da Silva, Ahmet Çagri Bagbaga, Juan-David Guerrero-Balaguera, Said Hamdioui, Christian Sauer, Matteo Sonza Reorda:
Using STLs for Effective In-Field Test of GPUs. IEEE Des. Test 40(2): 109-117 (2023) - [j83]Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
STLs for GPUs: Using High-Level Language Approaches. IEEE Des. Test 40(4): 51-60 (2023) - [j82]Nikolaos Ioannis Deligiannis, Riccardo Cantoro, Matteo Sonza Reorda:
Automating the Generation of Programs Maximizing the Sustained Switching Activity in Microprocessor units via Evolutionary Techniques. Microprocess. Microsystems 98: 104775 (2023) - [j81]Francesco Angione, Davide Appello, Paolo Bernardi, Claudia Bertani, Giovambattista Gallo, Stefano Littardi, Giorgio Pollaccia, Walter Ruggeri, Matteo Sonza Reorda, Vincenzo Tancorre, Roberto Ugioli:
A Low-Cost Burn-In Tester Architecture to Supply Effective Electrical Stress. IEEE Trans. Computers 72(5): 1447-1459 (2023) - [j80]Lorena Anghel, Riccardo Cantoro, Riccardo Masante, Michele Portolan, Sandro Sartoni, Matteo Sonza Reorda:
Self-Test Library Generation for In-Field Test of Path Delay Faults. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 4246-4259 (2023) - [j79]Nikolaos Ioannis Deligiannis, Tobias Faller, Riccardo Cantoro, Tobias Paxian, Bernd Becker, Matteo Sonza Reorda:
Automating the Generation of Programs Maximizing the Repeatable Constant Switching Activity in Microprocessor Units via MaxSAT. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 4270-4281 (2023) - [c419]Nikolaos Ioannis Deligiannis, Tobias Faller, Iacopo Guglielminetti, Riccardo Cantoro, Bernd Becker, Matteo Sonza Reorda:
Automatic Identification of Functionally Untestable Cell-Aware Faults in Microprocessors. ATS 2023: 1-6 - [c418]Annachiara Ruospo, Gabriele Gavarini, Corrado De Sio, J. Guerrero, Luca Sterpone, Matteo Sonza Reorda, Ernesto Sánchez, Riccardo Mariani, J. Aribido, Jyotika Athavale:
Assessing Convolutional Neural Networks Reliability through Statistical Fault Injections. DATE 2023: 1-6 - [c417]Paolo Bernardi, Gabriele Filipponi, Matteo Sonza Reorda, Davide Appello, Claudia Bertani, Vincenzo Tancorre:
Collecting diagnostic information through dichotomic search from Logic BIST of failing in-field automotive SoCs with delay faults. DDECS 2023: 21-26 - [c416]Robert Limas Sierra, Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
A Reliability-aware Environment for Design Exploration for GPU Devices. DDECS 2023: 169-174 - [c415]Riccardo Cantoro, Sandro Sartoni, Matteo Sonza Reorda, Lorena Anghel, Michele Portolan:
Evaluating the Impact of Aging on Path-Delay Self-Test Libraries. DFT 2023: 1-7 - [c414]Raghunandana K. K, Yogesh Prasad K. R, Matteo Sonza Reorda, Virendra Singh:
DDSR: An Online GPGPU Instruction Decoder Error Detecting and Correcting Architecture. DFT 2023: 1-6 - [c413]V. Turco, Annachiara Ruospo, Gabriele Gavarini, Ernesto Sánchez, Matteo Sonza Reorda:
Uncovering hidden vulnerabilities in CNNs through evolutionary-based Image Test Libraries. DFT 2023: 1-6 - [c412]Nunzio Mirabella, Andrea Floridia, Riccardo Cantoro, Michelangelo Grosso, Matteo Sonza Reorda:
Targeting different defect-oriented fault models in IC testing: an experimental approach. DSD 2023: 214-219 - [c411]Jens Anders, Pablo Andreu, Bernd Becker, Steffen Becker, Riccardo Cantoro, Nikolaos Ioannis Deligiannis, Nourhan Elhamawy, Tobias Faller, Carles Hernández, Nele Mentens, Mahnaz Namazi Rizi, Ilia Polian, Abolfazl Sajadi, Matthias Sauer, Denis Schwachhofer, Matteo Sonza Reorda, Todor Stefanov, Ilya Tuzov, Stefan Wagner, Nusa Zidaric:
A Survey of Recent Developments in Testability, Safety and Security of RISC-V Processors. ETS 2023: 1-10 - [c410]Josie E. Rodriguez Condia, Juan-David Guerrero-Balaguera, Edward Javier Patiño Nuñez, Robert Limas Sierra, Matteo Sonza Reorda:
Evaluating the Prevalence of SFUs in the Reliability of GPUs. ETS 2023: 1-6 - [c409]Nikolaos Ioannis Deligiannis, Tobias Faller, Chenghan Zhou, Riccardo Cantoro, Bernd Becker, Matteo Sonza Reorda:
Automating the Generation of Functional Stress Inducing Stimuli for Burn-In Testing. ETS 2023: 1-5 - [c408]Tobias Faller, Nikolaos Ioannis Deligiannis, Markus Schwörer, Matteo Sonza Reorda, Bernd Becker:
Constraint-Based Automatic SBST Generation for RISC-V Processor Families. ETS 2023: 1-6 - [c407]Annachiara Ruospo, Gabriele Gavarini, A. Porsia, Matteo Sonza Reorda, Ernesto Sánchez, Riccardo Mariani, J. Aribido, Jyotika Athavale:
Image Test Libraries for the on-line self-test of functional units in GPUs running CNNs. ETS 2023: 1-6 - [c406]Raghunandana K. K, B. K. S. V. L. Varaprasad, Matteo Sonza Reorda, Virendra Singh:
TREFU: An Online Error Detecting and Correcting Fault Tolerant GPGPU Architecture. IOLTS 2023: 1-7 - [c405]Juan-David Guerrero-Balaguera, Ian Harshbarger, Josie E. Rodriguez Condia, Marco Levorato, Matteo Sonza Reorda:
Reliability Estimation of Split DNN Models for Distributed Computing in IoT Systems. ISIE 2023: 1-4 - [c404]Francesco Angione, Paolo Bernardi, Riccardo Cantoro, Nicola Di Gruttola Giardino, Davide Piumatti, Matteo Sonza Reorda, Davide Appello, Vincenzo Tancorre:
On the integration and hardening of Software Test Libraries in Real-Time Operating Systems. LATS 2023: 1-6 - [c403]Josie E. Rodriguez Condia, Juan-David Guerrero-Balaguera, Edward Javier Patiño Nuñez, Robert Limas Sierra, Matteo Sonza Reorda:
Analyzing the Architectural Impact of Transient Fault Effects in SFUs of GPUs. LATS 2023: 1-6 - [c402]William Fornaciari, Federico Reghenzani, Federico Terraneo, Davide Baroffio, Cecilia Metra, Martin Omaña, Josie E. Rodriguez Condia, Matteo Sonza Reorda, Robert Birke, Iacopo Colonnelli, Gianluca Mittone, Marco Aldinucci, Gabriele Mencagli, Francesco Iannone, Filippo Palombi, Giuseppe Zummo, Daniele Cesarini, Federico Tesser:
RISC-V-Based Platforms for HPC: Analyzing Non-functional Properties for Future HPC and Big-Data Clusters. SAMOS 2023: 395-410 - [c401]Juan-David Guerrero-Balaguera, Josie Esteban Rodriguez Condia, Fernando Fernandes dos Santos, Matteo Sonza Reorda, Paolo Rech:
Understanding the Effects of Permanent Faults in GPU's Parallelism Management and Control Units. SC 2023: 46:1-46:14 - [c400]Josie E. Rodriguez Condia, Nikolaos Ioannis Deligiannis, Jacopo Sini, Riccardo Cantoro, Matteo Sonza Reorda:
Functional Testing with STLs: A Step Towards Reliable RISC-V-based HPC Commodity Clusters. ISC Workshops 2023: 444-457 - [c399]Robert Limas Sierra, Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
Analyzing the Impact of Different Real Number Formats on the Structural Reliability of TCUs in GPUs. VLSI-SoC 2023: 1-6 - [c398]Josie E. Rodriguez Condia, Matteo Sonza Reorda:
Evaluating the Impact of Transition Delay Faults in GPUs. VLSID 2023: 353-358 - [i12]Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Fernando Fernandes dos Santos, Matteo Sonza Reorda, Paolo Rech:
Understanding the Effects of Permanent Faults in GPU's Parallelism Management and Control Units. CoRR abs/2306.10856 (2023) - 2022
- [j78]Marcio M. Gonçalves, Josie E. Rodriguez Condia, Matteo Sonza Reorda, Luca Sterpone, José Rodrigo Azambuja:
Evaluating low-level software-based hardening techniques for configurable GPU architectures. J. Supercomput. 78(6): 8081-8105 (2022) - [c397]Nikolaos Ioannis Deligiannis, Tobias Faller, Josie E. Rodriguez Condia, Riccardo Cantoro, Bernd Becker, Matteo Sonza Reorda:
Using Formal Methods to Support the Development of STLs for GPUs. ATS 2022: 84-89 - [c396]Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
A Compaction Method for STLs for GPU in-field test. DATE 2022: 454-459 - [c395]Francesco Angione, Paolo Bernardi, Gabriele Filipponi, Claudia Tempesta, Matteo Sonza Reorda, Davide Appello, Vincenzo Tancorre, Roberto Ugioli:
Online scheduling of concurrent Memory BISTs execution at Real-Time Operating-System level. DFT 2022: 1-6 - [c394]Nikolaos Ioannis Deligiannis, Riccardo Cantoro, Matteo Sonza Reorda, Marcello Traiola, Emanuele Valea:
Improving the Fault Resilience of Neural Network Applications Through Security Mechanisms. DSN (Supplements) 2022: 23-24 - [c393]Hussam Amrouch, Krishnendu Chakrabarty, Dirk Pflüger, Ilia Polian, Matthias Sauer, Matteo Sonza Reorda:
Machine Learning for Test, Diagnosis, Post-Silicon Validation and Yield Optimization. ETS 2022: 1-6 - [c392]Francesco Angione, Davide Appello, J. Aribido, Jyotika Athavale, Nicolò Bellarmino, Paolo Bernardi, Riccardo Cantoro, Corrado De Sio, Tommaso Foscale, Gabriele Gavarini, J. Guerrero, Martin Huch, Giusy Iaria, Tobias Kilian, Riccardo Mariani, Raffaele Martone, Annachiara Ruospo, Ernesto Sánchez, Ulf Schlichtmann, Giovanni Squillero, Matteo Sonza Reorda, Luca Sterpone, Vincenzo Tancorre, Roberto Ugioli:
Test, Reliability and Functional Safety Trends for Automotive System-on-Chip. ETS 2022: 1-10 - [c391]Francesco Angione, Paolo Bernardi, Gabriele Filipponi, Matteo Sonza Reorda, Davide Appello, Vincenzo Tancorre, Roberto Ugioli:
An Optimized Burn-In Stress Flow targeting Interconnections logic to Embedded Memories in Automotive Systems-on-Chip. ETS 2022: 1-6 - [c390]Riccardo Cantoro, Francesco Garau, Patrick Girard, Nima Kolahimahmoudi, Sandro Sartoni, Matteo Sonza Reorda, Arnaud Virazel:
Effective techniques for automatically improving the transition delay fault coverage of Self-Test Libraries. ETS 2022: 1-2 - [c389]Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
Neural Network's Reliability to Permanent Faults: Analyzing the Impact of Performance Optimizations in GPUs. ICECS 2022 2022: 1-4 - [c388]Nunzio Mirabella, Andrea Floridia, Riccardo Cantoro, Michelangelo Grosso, Matteo Sonza Reorda:
A comparative overview of ATPG flows targeting traditional and cell-aware fault models. ICECS 2022 2022: 1-4 - [c387]Paolo Bernardi, Riccardo Cantoro, Anthony Coyette, W. Dobbeleare, Moritz Fieback, Andrea Floridia, G. Gielenk, Jhon Gomez, Michelangelo Grosso, Andrea Guerriero, Iacopo Guglielminetti, Said Hamdioui, Giorgio Insinga, N. Mautone, Nunzio Mirabella, Sandro Sartoni, Matteo Sonza Reorda, Rudolf Ullmann, Ronny Vanhooren, N. Xamak, Lizhou Wu:
Recent Trends and Perspectives on Defect-Oriented Testing. IOLTS 2022: 1-10 - [c386]Juan-David Guerrero-Balaguera, Robert Limas Sierra, Matteo Sonza Reorda:
Effective fault simulation of GPU's permanent faults for reliability estimation of CNNs. IOLTS 2022: 1-6 - [c385]Giusy Iaria, Tommaso Foscale, Paolo Bernardi, Luca Presicce, Matteo Sonza Reorda, Davide Appello, Vincenzo Tancorre, Roberto Ugioli:
A novel SEU injection setup for Automotive SoC. ISIE 2022: 623-626 - [c384]Juan-David Guerrero-Balaguera, Luigi Galasso, Robert Limas Sierra, Matteo Sonza Reorda:
Reliability Assessment of Neural Networks in GPUs: A Framework For Permanent Faults Injections. ISIE 2022: 959-962 - [c383]Josie E. Rodriguez Condia, Riccardo Faggiano, Matteo Sonza Reorda:
Microarchitectural Reliability Evaluation of a Block Scheduling Controller in GPUs. ISVLSI 2022: 26-31 - [c382]Raghunandana K. K, B. K. S. V. L. Varaprasad, Matteo Sonza Reorda, Virendra Singh:
REFU: Redundant Execution with Idle Functional Units, Fault Tolerant GPGPU architecture. ISVLSI 2022: 394-397 - [c381]Josie E. Rodriguez Condia, Juan-David Guerrero-Balaguera, Fernando Fernandes dos Santos, Matteo Sonza Reorda, Paolo Rech:
A Multi-level Approach to Evaluate the Impact of GPU Permanent Faults on CNN's Reliability. ITC 2022: 278-287 - [c380]Gabriele Filipponi, Giusy Iaria, Matteo Sonza Reorda, Davide Appello, Giuseppe Garozzo, Vincenzo Tancorre:
In-field Data Collection System through Logic BIST for large Automotive Systems-on-Chip. ITC 2022: 646-649 - [c379]Juan-David Guerrero-Balaguera, Luigi Galasso, Robert Limas Sierra, Ernesto Sánchez, Matteo Sonza Reorda:
Evaluating the impact of Permanent Faults in a GPU running a Deep Neural Network. ITC-Asia 2022: 96-101 - [c378]Giusy Iaria, Francesco Angione, Paolo Bernardi, Matteo Sonza Reorda, Davide Appello, Giuseppe Garozzo, Vincenzo Tancorre:
A novel Pattern Selection Algorithm to reduce the Test Cost of large Automotive Systems-on-Chip. LATS 2022: 1-6 - [c377]Riccardo Cantoro, Francesco Garau, Riccardo Masante, Sandro Sartoni, Virendra Singh, Matteo Sonza Reorda:
Exploiting post-silicon debug hardware to improve the fault coverage of Software Test Libraries. VTS 2022: 1-7 - [c376]Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
A New Method to Generate Software Test Libraries for In-Field GPU Testing Resorting to High-Level Languages. VTS 2022: 1-7 - [i11]Juan-David Guerrero-Balaguera, Luigi Galasso, Robert Limas Sierra, Matteo Sonza Reorda:
Reliability Assessment of Neural Networks in GPUs: A Framework For Permanent Faults Injections. CoRR abs/2205.12177 (2022) - [i10]Fernando Fernandes dos Santos, Angeliki Kritikakou, Josie Esteban Rodriguez Condia, Juan-David Guerrero-Balaguera, Matteo Sonza Reorda, Olivier Sentieys, Paolo Rech:
Characterizing a Neutron-Induced Fault Model for Deep Neural Networks. CoRR abs/2211.13094 (2022) - 2021
- [j77]Nikolaos Ioannis Deligiannis, Riccardo Cantoro, Matteo Sonza Reorda, Marcello Traiola, Emanuele Valea:
Towards the Integration of Reliability and Security Mechanisms to Enhance the Fault Resilience of Neural Networks. IEEE Access 9: 155998-156012 (2021) - [j76]Marcelo Lubaszewki, Matteo Sonza Reorda:
Guest Editors' Introduction: SBCCI 2019. IEEE Des. Test 38(4): 60-61 (2021) - [j75]Josie E. Rodriguez Condia, Pierpaolo Narducci, Matteo Sonza Reorda, Luca Sterpone:
DYRE: a DYnamic REconfigurable solution to increase GPGPU's reliability. J. Supercomput. 77(10): 11625-11642 (2021) - [c375]Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
A Novel Compaction Approach for SBST Test Programs. ATS 2021: 67-72 - [c374]Nikolaos Ioannis Deligiannis, Riccardo Cantoro, Tobias Faller, Tobias Paxian, Bernd Becker, Matteo Sonza Reorda:
Effective SAT-based Solutions for Generating Functional Sequences Maximizing the Sustained Switching Activity in a Pipelined Processor. ATS 2021: 73-78 - [c373]Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
On the Functional Test of Special Function Units in GPUs. DDECS 2021: 81-86 - [c372]Nikolaos Ioannis Deligiannis, Riccardo Cantoro, Matteo Sonza Reorda:
Maximizing the Switching Activity of Different Modules Within a Processor Core via Evolutionary Techniques. DSD 2021: 535-540 - [c371]Fernando Fernandes dos Santos, Josie E. Rodriguez Condia, Luigi Carro, Matteo Sonza Reorda, Paolo Rech:
Revealing GPUs Vulnerabilities by Combining Register-Transfer and Software-Level Fault Injection. DSN 2021: 292-304 - [c370]Walter Ruggeri, Paolo Bernardi, Stefano Littardi, Matteo Sonza Reorda, Davide Appello, Claudia Bertani, Giorgio Pollaccia, Vincenzo Tancorre, Roberto Ugioli:
Innovative methods for Burn-In related Stress Metrics Computation. DTIS 2021: 1-6 - [c369]Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
Using Hardware Performance Counters to support infield GPU Testing. ICECS 2021: 1-4 - [c368]Davide Appello, H. H. Chen, Matthias Sauer, Ilia Polian, Paolo Bernardi, Matteo Sonza Reorda:
System-Level Test: State of the Art and Challenges. IOLTS 2021: 1-7 - [c367]Riccardo Cantoro, Patrick Girard, Riccardo Masante, Sandro Sartoni, Matteo Sonza Reorda, Arnaud Virazel:
Self-Test Libraries Analysis for Pipelined Processors Transition Fault Coverage Improvement. IOLTS 2021: 1-4 - [c366]Josie E. Rodriguez Condia, Paolo Rech, Fernando Fernandes dos Santos, Luigi Carro, Matteo Sonza Reorda:
Protecting GPU's Microarchitectural Vulnerabilities via Effective Selective Hardening. IOLTS 2021: 1-7 - [c365]Nunzio Mirabella, Michelangelo Grosso, Giovanna Franchino, Salvatore Rinaudo, Ioannis Deretzis, Antonino La Magna, Matteo Sonza Reorda:
Comparing different solutions for testing resistive defects in low-power SRAMs. LATS 2021: 1-6 - [c364]Josie E. Rodriguez Condia, Fernando Fernandes dos Santos, Matteo Sonza Reorda, Paolo Rech:
Combining Architectural Simulation and Software Fault Injection for a Fast and Accurate CNNs Reliability Evaluation on GPUs. VTS 2021: 1-7 - [c363]Nikolaos Ioannis Deligiannis, Riccardo Cantoro, Matthias Sauer, Bernd Becker, Matteo Sonza Reorda:
New Techniques for the Automatic Identification of Uncontrollable Lines in a CPU Core. VTS 2021: 1-7 - [i9]Ilia Polian, Jens Anders, Steffen Becker, Paolo Bernardi, Krishnendu Chakrabarty, Nourhan Elhamawy, Matthias Sauer, Adit D. Singh, Matteo Sonza Reorda, Stefan Wagner:
Exploring the Mysteries of System-Level Test. CoRR abs/2103.06656 (2021) - [i8]Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
A Novel Compaction Approach for SBST Test Programs. CoRR abs/2109.00958 (2021) - [i7]Nunzio Mirabella, Michelangelo Grosso, Giovanna Franchino, Salvatore Rinaudo, Ioannis Deretzis, Antonino La Magna, Matteo Sonza Reorda:
Comparing different solutions for testing resistive defects in low-power SRAMs. CoRR abs/2112.15176 (2021) - 2020
- [j74]Stefano Di Carlo, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
An On-Line Testing Technique for the Scheduler Memory of a GPGPU. IEEE Access 8: 16893-16912 (2020) - [j73]Riccardo Cantoro, Aleksa Damljanovic, Matteo Sonza Reorda, Giovanni Squillero:
A Novel Sequence Generation Approach to Diagnose Faults in Reconfigurable Scan Networks. IEEE Trans. Computers 69(1): 87-98 (2020) - [j72]Cecilia Metra, Matteo Sonza Reorda:
Guest Editor's Introduction: Special Section on High Dependability Systems. IEEE Trans. Emerg. Top. Comput. 8(2): 416-417 (2020) - [c362]Ilia Polian, Jens Anders, Steffen Becker, Paolo Bernardi, Krishnendu Chakrabarty, Nourhan Elhamawy, Matthias Sauer, Adit D. Singh, Matteo Sonza Reorda, Stefan Wagner:
Exploring the Mysteries of System-Level Test. ATS 2020: 1-6 - [c361]Maksim Jenihhin, Said Hamdioui, Matteo Sonza Reorda, Milos Krstic, Peter Langendörfer, Christian Sauer, Anton Klotz, Michael Hübner, Jörg Nolte, Heinrich Theodor Vierhaus, Georgios N. Selimis, Dan Alexandrescu, Mottaqiallah Taouil, Geert Jan Schrijen, Jaan Raik, Luca Sterpone, Giovanni Squillero, Zoya Dyka:
RESCUE: Interdependent Challenges of Reliability, Security and Quality in Nanoelectronic Systems. DATE 2020: 388-393 - [c360]Paolo Bernardi, Marco Restifo, Matteo Sonza Reorda, Davide Appello, Claudia Bertani, D. Petrali:
Applicative System Level Test introduction to Increase Confidence on Screening Quality. DDECS 2020: 1-6 - [c359]Josie E. Rodriguez Condia, Pierpaolo Narducci, Matteo Sonza Reorda, Luca Sterpone:
A dynamic hardware redundancy mechanism for the in-field fault detection in cores of GPGPUs. DDECS 2020: 1-6 - [c358]Riccardo Cantoro, Nikolaos Ioannis Deligiannis, Matteo Sonza Reorda, Marcello Traiola, Emanuele Valea:
Evaluating Data Encryption Effects on the Resilience of an Artificial Neural Network. DFT 2020: 1-4 - [c357]Felipe Augusto da Silva, Ahmet Cagri Bagbaba, Sandro Sartoni, Riccardo Cantoro, Matteo Sonza Reorda, Said Hamdioui, Christian Sauer:
Determined-Safe Faults Identification: A step towards ISO26262 hardware compliant designs. ETS 2020: 1-6 - [c356]Josie E. Rodriguez Condia, Matteo Sonza Reorda:
On the testing of special memories in GPGPUs. IOLTS 2020: 1-6 - [c355]Josie E. Rodriguez Condia, Marcio Gonçalves, José Rodrigo Azambuja, Matteo Sonza Reorda, Luca Sterpone:
Analyzing the Sensitivity of GPU Pipeline Registers to Single Events Upsets. ISVLSI 2020: 380-385 - [c354]Riccardo Cantoro, Dario Foti, Sandro Sartoni, Matteo Sonza Reorda, Lorena Anghel, Michele Portolan:
New Perspectives on Core In-field Path Delay Test. ITC 2020: 1-5 - [c353]Riccardo Cantoro, Nikolaos Ioannis Deligiannis, Matteo Sonza Reorda, Marcello Traiola, Emanuele Valea:
Evaluating the Code Encryption Effects on Memory Fault Resilience. LATS 2020: 1-6 - [c352]Marcio Gonçalves, José Rodrigo Azambuja, Josie E. Rodriguez Condia, Matteo Sonza Reorda, Luca Sterpone:
Evaluating Software-based Hardening Techniques for General-Purpose Registers on a GPGPU. LATS 2020: 1-6 - [c351]