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2020 – today
- 2024
[j6]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)- [c43]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 - [c42]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 - [c41]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 - [c40]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 - [c39]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 - [c38]María-Luisa Pinto-Salamanca, Josie E. Rodriguez Condia, José A. Hidalgo-López, Wilson-Javier Pérez-Holguín:
Analyzing the Reliability of Stream Sparse Matrix-Vector Multiplication Accelerators: A High-Level Approach. LATS 2024: 1-4 - [c37]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 - [c36]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 - [c35]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 - 2023
- [j5]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) - [j4]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) - [c34]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 - [c33]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 - [c32]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 - [c31]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 - [c30]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 - [c29]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 - [c28]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 - [c27]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 - [c26]Josie E. Rodriguez Condia, Matteo Sonza Reorda:
Evaluating the Impact of Transition Delay Faults in GPUs. VLSID 2023: 353-358 - [i3]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
- [j3]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) - [c25]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 - [c24]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 - [c23]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 - [c22]Josie E. Rodriguez Condia, Riccardo Faggiano, Matteo Sonza Reorda:
Microarchitectural Reliability Evaluation of a Block Scheduling Controller in GPUs. ISVLSI 2022: 26-31 - [c21]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 - [c20]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 - [i2]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
- [j2]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) - [c19]Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
A Novel Compaction Approach for SBST Test Programs. ATS 2021: 67-72 - [c18]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 - [c17]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 - [c16]Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
Using Hardware Performance Counters to support infield GPU Testing. ICECS 2021: 1-4 - [c15]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 - [c14]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 - [i1]Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
A Novel Compaction Approach for SBST Test Programs. CoRR abs/2109.00958 (2021) - 2020
- [j1]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) - [c13]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 - [c12]Josie E. Rodriguez Condia, Matteo Sonza Reorda:
On the testing of special memories in GPGPUs. IOLTS 2020: 1-6 - [c11]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 - [c10]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 - [c9]Josie E. Rodriguez Condia, Matteo Sonza Reorda:
Testing the Divergence Stack Memory on GPGPUs: A Modular in-Field Test Strategy. VLSI-SOC 2020: 153-158 - [c8]Josie Esteban Rodriguez Condia, Matteo Sonza Reorda:
Modular Functional Testing: Targeting the Small Embedded Memories in GPUs. VLSI-SoC (Selected Papers) 2020: 205-233 - [c7]Josie E. Rodriguez Condia, Pierpaolo Narducci, Matteo Sonza Reorda, Luca Sterpone:
A dynamic reconfiguration mechanism to increase the reliability of GPGPUs. VTS 2020: 1-6
2010 – 2019
- 2019
- [c6]Stefano Di Carlo, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
On the in-field test of the GPGPU scheduler memory. DDECS 2019: 1-6 - [c5]Boyang Du, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
An extended model to support detailed GPGPU reliability analysis. DTIS 2019: 1-6 - [c4]Josie E. Rodriguez Condia, Felipe Augusto da Silva, Said Hamdioui, Christian Sauer, Matteo Sonza Reorda:
Untestable faults identification in GPGPUs for safety-critical applications. ICECS 2019: 570-573 - [c3]Josie E. Rodriguez Condia, Matteo Sonza Reorda:
Testing permanent faults in pipeline registers of GPGPUs: A multi-kernel approach. IOLTS 2019: 97-102 - [c2]Boyang Du, Josie E. Rodriguez Condia, Matteo Sonza Reorda, Luca Sterpone:
On the evaluation of SEU effects in GPGPUs. LATS 2019: 1-6 - 2018
- [c1]Boyang Du, Josie E. Rodriguez Condia, Matteo Sonza Reorda, Luca Sterpone:
About the functional test of the GPGPU scheduler. IOLTS 2018: 85-90
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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