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Rapuano, Emilio
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1

FPG-AI: A Technology-Independent Framework for the Automati..:

Pacini, Tommaso ; Rapuano, Emilio ; Fanucci, Luca
IEEE Access.  11 (2023)  - p. 32759-32775 , 2023
Link: https://doi.org/10.1109/..
 
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2

Towards the Extension of FPG-AI Toolflow to RNN Deployment ..:

, In: 2023 European Data Handling & Data Processing Conference (EDHPC),
Pacini, Tommaso ; Rapuano, Emilio ; Tuttobene, Luciano... - p. 1-5 , 2023
Link: https://doi.org/10.23919..
 
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3

Design and Implementation of an FPGA-Based CNN Hardware Acc..:

, In: Lecture Notes in Electrical Engineering; Applications in Electronics Pervading Industry, Environment and Society,
Comino, Corrado ; Pacini, Tommaso ; Rapuano, Emilio. - p. 187-193 , 2022
Link: https://doi.org/10.1007/..
 
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4

A Post-training Quantization Method for the Design of Fixed..:

Rapuano, Emilio ; Pacini, Tommaso ; Fanucci, Luca.
Computational Intelligence and Neuroscience.  2022 (2022)  - p. 1-13 , 2022
Link: https://doi.org/10.1155/..
 
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5

A Multi-Cache System for On-Chip Memory Optimization in FPG..:

Pacini, Tommaso ; Rapuano, Emilio ; Dinelli, Gianmarco.
Electronics.  10 (2021)  20 - p. 2514 , 2021
Link: https://doi.org/10.3390/..
 
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6

An FPGA-Based Hardware Accelerator for CNNs Inference on Bo..:

Rapuano, Emilio ; Meoni, Gabriele ; Pacini, Tommaso...
Remote Sensing.  13 (2021)  8 - p. 1518 , 2021
Link: https://doi.org/10.3390/..
 
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7

Advantages and Limitations of Fully on-Chip CNN FPGA-Based ..:

, In: 2020 IEEE International Symposium on Circuits and Systems (ISCAS),
Dinelli, Gianmarco ; Meoni, Gabriele ; Rapuano, Emilio. - p. 1-5 , 2020
Link: https://doi.org/10.1109/..
 
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8

An FPGA-Based Hardware Accelerator for CNNs Using On-Chip M..:

Dinelli, Gianmarco ; Meoni, Gabriele ; Rapuano, Emilio...
International Journal of Reconfigurable Computing.  2019 (2019)  - p. 1-13 , 2019
Link: https://doi.org/10.1155/..
 
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9

An FPGA-Based Hardware Accelerator for CNNs Using On-Chip M..:

DInelli, Gianmarco ; Meoni, Gabriele ; Rapuano, Emilio..
info:eu-repo/semantics/altIdentifier/wos/WOS:000497360900001.  , 2019
Link: http://hdl.handle.net/11..
 
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10

FPG-AI: A Technology-Independent Framework for the Automati..:

Tommaso Pacini ; Emilio Rapuano ; Luca Fanucci
https://ieeexplore.ieee.org/document/10089388/.  , 2023
Link: https://doi.org/10.1109/..
 
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11

A Post-training Quantization Method for the Design of Fixed..:

Emilio Rapuano ; Tommaso Pacini ; Luca Fanucci
http://dx.doi.org/10.1155/2022/9485933.  , 2022
Link: https://doi.org/10.1155/..
 
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12

A Multi-Cache System for On-Chip Memory Optimization in FPG..:

Tommaso Pacini ; Emilio Rapuano ; Gianmarco Dinelli.
https://www.mdpi.com/2079-9292/10/20/2514.  , 2021
Link: https://doi.org/10.3390/..
 
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13

An FPGA-Based Hardware Accelerator for CNNs Inference on Bo..:

Emilio Rapuano ; Gabriele Meoni ; Tommaso Pacini...
https://www.mdpi.com/2072-4292/13/8/1518.  , 2021
Link: https://doi.org/10.3390/..
 
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14

A Multi-Cache System for On-Chip Memory Optimization in FPG..:

Tommaso Pacini ; Emilio Rapuano ; Gianmarco Dinelli.
Networks.  , 2021
Link: https://doi.org/10.3390/..
 
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15

An FPGA-Based Hardware Accelerator for CNNs Inference on Bo..:

Emilio Rapuano ; Gabriele Meoni ; Tommaso Pacini...
AI Remote Sensing.  , 2021
Link: https://doi.org/10.3390/..
 
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