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Journal Articles
- 2023
[j4]Tommaso Pacini
, Emilio Rapuano, Luca Fanucci:
FPG-AI: A Technology-Independent Framework for the Automation of CNN Deployment on FPGAs. IEEE Access 11: 32759-32775 (2023)- 2021
- [j3]Emilio Rapuano, Gabriele Meoni, Tommaso Pacini, Gianmarco Dinelli, Gianluca Furano, Gianluca Giuffrida, Luca Fanucci:
An FPGA-Based Hardware Accelerator for CNNs Inference on Board Satellites: Benchmarking with Myriad 2-Based Solution for the CloudScout Case Study. Remote. Sens. 13(8): 1518 (2021) - 2020
- [j2]Gianmarco Dinelli, Gabriele Meoni, Emilio Rapuano, Tommaso Pacini, Luca Fanucci:
MEM-OPT: A Scheduling and Data Re-Use System to Optimize On-Chip Memory Usage for CNNs On-Board FPGAs. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(3): 335-347 (2020) - 2019
- [j1]Gianmarco Dinelli, Gabriele Meoni, Emilio Rapuano, Gionata Benelli, Luca Fanucci:
An FPGA-Based Hardware Accelerator for CNNs Using On-Chip Memories Only: Design and Benchmarking with Intel Movidius Neural Compute Stick. Int. J. Reconfigurable Comput. 2019: 7218758:1-7218758:13 (2019)
Conference and Workshop Papers
- 2021
- [c2]Corrado Comino, Tommaso Pacini, Emilio Rapuano, Luca Fanucci:
Design and Implementation of an FPGA-Based CNN Hardware Accelerator Using Partial Reconfigurability: The CloudScout Case Study. ApplePies 2021: 187-193 - 2020
- [c1]Gianmarco Dinelli, Gabriele Meoni, Emilio Rapuano, Luca Fanucci:
Advantages and Limitations of Fully on-Chip CNN FPGA-Based Hardware Accelerator. ISCAS 2020: 1-5
Coauthor Index
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