Architectural Implications for Inference of Graph Neural Networks on CGRA-based Accelerators. - Luca Zulberti; Matteo Monopoli; Pietro Nannipieri; Luca Fanucci (PRIME, 2022)

Exploiting FPGA Dynamic Partial Reconfiguration for a Soft GPU-based System-on-Chip. - Matteo Monopoli; Luca Zulberti; Giovanni Todaro; Pietro Nannipieri; Luca Fanucci (PRIME, 2023)

Enhanced Soft GPU Architecture for FPGAs. - Giovanni Todaro; Matteo Monopoli; Gionata Benelli; Luca Zulberti; Tommaso Pacini (PRIME, 2023)

Flexible Precision Vector Extension for Energy Efficient Coarse-Grained Reconfigurable Array AI-Engine. - Gabriela Mystkowska; Luca Zulberti; Matteo Monopoli; Pietro Nannipieri; Luca Fanucci (DSD, 2024)

SmartDMA: Adaptable Memory Access Controller for CGRA-based Processing Systems. - Luca Zulberti; Andrea Monorchio; Matteo Monopoli; Gabriela Mystkowska; Pietro Nannipieri; Luca Fanucci (DSD, 2024)

Enhancing a Soft GPU IP Reliability Against SEUs in Space: Modelling Approach and Criticality Analysis on a Radiation-Tolerant FPGA. - Matteo Monopoli; Matteo Biondi; Giovanni Todaro; Pietro Nannipieri; Silvia Moranti; Cinzia Bernardeschi; Luca Fanucci (ICSRS, 2024)

RADSAFiE: A Netlist-Level Fault Injection User Interface Application for FPGA-Based Digital Systems. - Matteo Monopoli; Matteo Biondi; Pietro Nannipieri; Silvia Moranti; Luca Fanucci (IEEE Access, 2025)

Efficient Coarse-Grained Reconfigurable Array architecture for machine learning applications in space using DARE65T library platform. - Luca Zulberti; Matteo Monopoli; Pietro Nannipieri; Silvia Moranti; Geert Thys; Luca Fanucci (Microprocess. Microsystems, 2025)