An FPGA-Based Hardware Accelerator for CNNs Using On-Chip Memories Only: Design and Benchmarking with Intel Movidius Neural Compute Stick. - Gianmarco Dinelli; Gabriele Meoni; Emilio Rapuano; Gionata Benelli; Luca Fanucci (Int. J. Reconfigurable Comput., 2019)

Advantages and Limitations of Fully on-Chip CNN FPGA-Based Hardware Accelerator. - Gianmarco Dinelli; Gabriele Meoni; Emilio Rapuano; Luca Fanucci (ISCAS, 2020)

MEM-OPT: A Scheduling and Data Re-Use System to Optimize On-Chip Memory Usage for CNNs On-Board FPGAs. - Gianmarco Dinelli; Gabriele Meoni; Emilio Rapuano; Tommaso Pacini; Luca Fanucci (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Design and Implementation of an FPGA-Based CNN Hardware Accelerator Using Partial Reconfigurability: The CloudScout Case Study. - Corrado Comino; Tommaso Pacini; Emilio Rapuano; Luca Fanucci (ApplePies, 2021)

An FPGA-Based Hardware Accelerator for CNNs Inference on Board Satellites: Benchmarking with Myriad 2-Based Solution for the CloudScout Case Study. - Emilio Rapuano; Gabriele Meoni; Tommaso Pacini; Gianmarco Dinelli; Gianluca Furano; Gianluca Giuffrida; Luca Fanucci (Remote. Sens., 2021)

FPG-AI: A Technology-Independent Framework for the Automation of CNN Deployment on FPGAs. - Tommaso Pacini; Emilio Rapuano; Luca Fanucci (IEEE Access, 2023)

Integration of the Open-Source RISC-V Formal Verification Framework into the STMicroelectronics Toolchain and Its Application to the STRiVe2.4 CPU. - Lorenzo Bordonaro; Emilio Rapuano; Sara Bocchio; Luca Fanucci (ApplePies, 2024)