Alessandro Nadalini

According to our database, Alessandro Nadalini authored at least 7 papers between 2022 and 2025.

Collaborative distances:

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

2025

FlatAttention: Dataflow and Fabric Collectives Co-Optimization for Efficient Multi-Head Attention on Tile-Based Many-PE Accelerators.

Chi Zhang, Luca Colagrande, Renzo Andri, Thomas Benz, Gamze Islamoglu, Alessandro Nadalini, Francesco Conti, Yawei Li, Luca Benini

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2025

FractalSync: Lightweight Scalable Global Synchronization of Massive Bulk Synchronous Parallel AI Accelerators.

Victor Isachi, Alessandro Nadalini, Riccardo Fiorani Gallotta, Angelo Garofalo, Francesco Conti, Davide Rossi

Proceedings of the 22nd ACM International Conference on Computing Frontiers, 2025

2024

A Heterogeneous RISC-V Based SoC for Secure Nano-UAV Navigation.

Luca Valente, Alessandro Nadalini, Asif Hussain Chiralil Veeran, Mattia Sinigaglia, Bruno Sá, Nils Wistoff, Yvan Tortorella, Simone Benatti, Rafail Psiakis, Ari Kulmala, Baker Mohammad, Sandro Pinto, Daniele Palossi, Luca Benini, Davide Rossi

IEEE Trans. Circuits Syst. I Regul. Pap., May, 2024

2023

DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training.

Angelo Garofalo, Yvan Tortorella, Matteo Perotti, Luca Valente, Alessandro Nadalini, Luca Benini, Davide Rossi, Francesco Conti

CoRR, 2023

A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks.

Alessandro Nadalini, Georg Rutishauser, Alessio Burrello, Nazareno Bruschi, Angelo Garofalo, Luca Benini, Francesco Conti, Davide Rossi

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2023

Shaheen: An Open, Secure, and Scalable RV64 SoC for Autonomous Nano-UAVs.

Luca Valente, Asif Veeran, Mattia Sinigaglia, Yvan Tortorella, Alessandro Nadalini, Nils Wistoff, Bruno Sá, Angelo Garofalo, Rafail Psiakis, M. Tolba, Ari Kulmala, Nimisha Limaye, Ozgur Sinanoglu, Sandro Pinto, Daniele Palossi, Luca Benini, Baker Mohammad, Davide Rossi

Proceedings of the 35th IEEE Hot Chips Symposium, 2023

2022

Darkside: 2.6GFLOPS, 8.7mW Heterogeneous RISC-V Cluster for Extreme-Edge On-Chip DNN Inference and Training.

Angelo Garofalo, Matteo Perotti, Luca Valente, Yvan Tortorella, Alessandro Nadalini, Luca Benini, Davide Rossi, Francesco Conti

Proceedings of the 48th IEEE European Solid State Circuits Conference, 2022