Alessandro Veronesi

According to our database, Alessandro Veronesi authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Cross-Layer Reliability Analysis of Slimmable Neural Networks under Permanent Faults.

Nikolaos Zazatis, Alessandro Veronesi, Konstantinos Varakliotis, Pelopidas Tsoumanis, Christos P. Sotiriou, Letícia Maria Bolzani Pöhls, Marko S. Andjelkovic, Davide Bertozzi

Proceedings of the 44th IEEE VLSI Test Symposium, 2026

Reliability Assessment of Deep Neural Networks and Accelerators Across Design Stages.

Mohammad Hasan Ahmadilivani, Natalia Cherezova, Michael Glaß, Juan-David Guerrero-Balaguera, Maksim Jenihhin, Angeliki Kritikakou, Robert Limas Sierra, Letícia Maria Veiras Bolzani Poehls, Jaan Raik, Lucas Roquet, Fernando Fernandes dos Santos, Felipe Augusto da Silva, Matteo Sonza Reorda, Alessandro Veronesi, Ernesto Cristopher Villegas Castillo, Josie E. Rodriguez Condia

Proceedings of the 27th IEEE Latin American Test Symposium, 2026

2025

AIDA4Edge: Twinning for Excellence in Adaptive Edge Artificial Intelligence.

Marko S. Andjelkovic, Rizwan Tariq Syed, Alessandro Veronesi, Fabian Vargas, Markus Ulbricht, Leticia Bolzani Poehls, Milos Krstic, Davide Bertozzi, Edward G. Jones, Oliver Rhodes, Riccardo Zese, Michele Favalli, Alice Bizzarri, Evelina Lamma, Marco Gavanelli, Elena Bellodi, Zoran Peric, Jelena Nikolic, Milan R. Dincic, Aleksandra Jovanovic, Dejan Ciric, Nikola Vucic, Sofija Peric, Jelena Jovanovic, Milica Stojanovic, Tatjana R. Nikolic, Goran Nikolic, Jelena Nedeljkovic, Danijel Dankovic, Emilija Zivanovic, Milos Marjanovic, Sandra Veljkovic, Nikola Mitrovic, Bratislav Predic, Tamara Milovanovic

Proceedings of the 28th Euromicro Conference on Digital System Design, 2025

Special Session Paper: Simulation Methodologies and Experiments for Reliability Analysis of Devices in Radiation Harsh Environments.

Nikolaos Chatzivangelis, Nikolaos Zazatis, Wesley Grignani, Georgios Ioannis Paliaroutis, Douglas A. dos Santos, Carolina Imianosky, Maria Kastriotou, Carlo Cazzaniga, Frédéric Wrobel, Alessandro Veronesi, Christos P. Sotiriou, Marko S. Andjelkovic, Fabian Luis Vargas, Davide Bertozzi, Luigi Dilillo

Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2025

EMBER: A Cycle-based Framework for Early-Stage Reliability Assessment in Parametric RTL Designs.

Alessandro Veronesi, Letícia Maria Veiras Bolzani, Michele Favalli, Milos Krstic, Davide Bertozzi

Proceedings of the 34th IEEE Asian Test Symposium, 2025

2024

An Ultra-Low Cost and Multicast-Enabled Asynchronous NoC for Neuromorphic Edge Computing.

Zhe Su, Simone Ramini, Demetra Coffen Marcolin, Alessandro Veronesi, Milos Krstic, Giacomo Indiveri, Davide Bertozzi, Steven M. Nowick

IEEE J. Emerg. Sel. Topics Circuits Syst., September, 2024

Reliability Assessment of Large DNN Models: Trading Off Performance and Accuracy.

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

Proceedings of the 32nd IFIP/IEEE International Conference on Very Large Scale Integration, 2024

Cross-Layer Reliability Analysis of NVDLA Accelerators: Exploring the Configuration Space.

Alessandro Veronesi, Alessandro Nazzari, Dario Passarello, Milos Krstic, Michele Favalli, Luca Cassano, Antonio Miele, Davide Bertozzi, Cristiana Bolchini

Proceedings of the IEEE European Test Symposium, 2024

2023

Prototyping Reconfigurable RRAM-Based AI Accelerators Using the RISC-V Ecosystem and Digital Twins.

Markus Fritscher, Alessandro Veronesi, Andrea Baroni, Jianan Wen, Thorsten Spätling, Mamathamba Kalishettyhalli Mahadevaiah, Norbert Herfurth, Eduardo Pérez, Markus Ulbricht, Marc Reichenbach, Amelie Hagelauer, Milos Krstic

Proceedings of the High Performance Computing, 2023

2022

Exploring Software Models for the Resilience Analysis of Deep Learning Accelerators: the NVDLA Case Study.

Alessandro Veronesi, Francesco Dall'Occo, Davide Bertozzi, Michele Favalli, Milos Krstic

Proceedings of the 25th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, 2022

2020

Cross-Layer Hardware/Software Assessment of the Open-Source NVDLA Configurable Deep Learning Accelerator.

Alessandro Veronesi, Milos Krstic, Davide Bertozzi

Proceedings of the 28th IFIP/IEEE International Conference on Very Large Scale Integration, 2020

Assessing the Configuration Space of the Open Source NVDLA Deep Learning Accelerator on a Mainstream MPSoC Platform.

Alessandro Veronesi, Davide Bertozzi, Milos Krstic

Proceedings of the VLSI-SoC: Design Trends, 2020