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Alessandro Veronesi

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2020 – today

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2025
[c8]
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  - conf/dft/ChatzivangelisZGPSIKCWV25
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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:
Special Session Paper: Simulation Methodologies and Experiments for Reliability Analysis of Devices in Radiation Harsh Environments. DFT 2025: 1-8
[c7]
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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 Dincic, Aleksandra Jovanovic, Dejan Ciric, Nikola Vucic, Sofija Peric, Jelena Jovanovic, Milica Stojanovic, Tatjana Nikolic, Goran Nikolic, Jelena Nedeljkovic, Danijel Dankovic, Emilija Zivanovic, Milos Marjanovic, Sandra Veljkovic, Nikola Mitrovic, Bratislav Predic, Tamara Milovanovic:
AIDA4Edge: Twinning for Excellence in Adaptive Edge Artificial Intelligence. DSD 2025: 145-152
2024
[j1]
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Zhe Su, Simone Ramini, Demetra Coffen Marcolin, Alessandro Veronesi, Milos Krstic, Giacomo Indiveri, Davide Bertozzi, Steven M. Nowick:
An Ultra-Low Cost and Multicast-Enabled Asynchronous NoC for Neuromorphic Edge Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. 14(3): 409-424 (2024)
[c6]
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Alessandro Veronesi, Alessandro Nazzari, Dario Passarello, Milos Krstic, Michele Favalli, Luca Cassano, Antonio Miele, Davide Bertozzi, Cristiana Bolchini:
Cross-Layer Reliability Analysis of NVDLA Accelerators: Exploring the Configuration Space. ETS 2024: 1-6
[c5]
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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
2023
[c4]
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  - conf/supercomputer/FritscherVBWSMHPURHK23
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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:
Prototyping Reconfigurable RRAM-Based AI Accelerators Using the RISC-V Ecosystem and Digital Twins. ISC Workshops 2023: 500-514
2022
[c3]
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Alessandro Veronesi, Francesco Dall'Occo, Davide Bertozzi, Michele Favalli, Milos Krstic:
Exploring Software Models for the Resilience Analysis of Deep Learning Accelerators: the NVDLA Case Study. DDECS 2022: 142-147
2020
[c2]
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Alessandro Veronesi, Milos Krstic, Davide Bertozzi:
Cross-Layer Hardware/Software Assessment of the Open-Source NVDLA Configurable Deep Learning Accelerator. VLSI-SOC 2020: 58-63
[c1]
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Alessandro Veronesi, Davide Bertozzi, Milos Krstic:
Assessing the Configuration Space of the Open Source NVDLA Deep Learning Accelerator on a Mainstream MPSoC Platform. VLSI-SoC (Selected Papers) 2020: 87-112

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