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Gianfranco Deriu
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2020 – today
- 2023
- [j5]Francesco Ratto
, Ángela Porras Máinez, Carlo Sau
An Automated Design Flow for Adaptive Neural Network Hardware Accelerators. J. Signal Process. Syst. 95(9): 1091-1113 (2023) - 2022
- [j4]Paola Busia
Target-Aware Neural Architecture Search and Deployment for Keyword Spotting. IEEE Access 10: 40687-40700 (2022) - 2021
- [c8]Georg Buchgeher, Gerald Czech, Adriano Souza Ribeiro, Werner Kloihofer, Paolo Meloni, Paola Busia, Gianfranco Deriu, Maura Pintor
Task-Specific Automation in Deep Learning Processes. DEXA Workshops 2021: 159-169 - 2020
- [j3]Paolo Meloni
Exploring NEURAghe: A Customizable Template for APSoC-Based CNN Inference at the Edge. IEEE Embed. Syst. Lett. 12(2): 62-65 (2020) - [j2]Marco Carreras
Optimizing Temporal Convolutional Network Inference on FPGA-Based Accelerators. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(3): 348-361 (2020) - [i2]Marco Carreras, Gianfranco Deriu, Luigi Raffo, Luca Benini, Paolo Meloni:
Optimizing Temporal Convolutional Network inference on FPGA-based accelerators. CoRR abs/2005.03775 (2020)
2010 – 2019
- 2019
- [c7]Paolo Meloni, Daniela Loi, Paola Busia, Gianfranco Deriu, Andy D. Pimentel
Optimization and deployment of CNNs at the edge: the ALOHA experience. CF 2019: 326-332 - [c6]Marco Carreras, Gianfranco Deriu, Paolo Meloni:
Flexible Acceleration of Convolutions on FPGAs: NEURAghe 2.0. CPS Summer School, PhD Workshop 2019: 60-71 - [c5]Paolo Meloni, Antonio Garufi, Gianfranco Deriu, Marco Carreras, Daniela Loi:
CNN hardware acceleration on a low-power and low-cost APSoC. DASIP 2019: 7-12 - 2018
- [j1]Paolo Meloni
NEURAghe: Exploiting CPU-FPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs. ACM Trans. Reconfigurable Technol. Syst. 11(3): 18:1-18:24 (2018) - [c4]Paolo Meloni
ALOHA: an architectural-aware framework for deep learning at the edge. INTESA@ESWEEK 2018: 19-26 - [c3]Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel
Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project. ICM 2018: 52-55 - 2017
- [i1]Paolo Meloni, Alessandro Capotondi, Gianfranco Deriu, Michele Brian, Francesco Conti, Davide Rossi, Luigi Raffo, Luca Benini:
NEURAghe: Exploiting CPU-FPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs. CoRR abs/1712.00994 (2017) - 2016
- [c2]Paolo Meloni, Gianfranco Deriu, Francesco Conti
Curbing the roofline: a scalable and flexible architecture for CNNs on FPGA. Conf. Computing Frontiers 2016: 376-383 - [c1]Paolo Meloni, Gianfranco Deriu, Francesco Conti, Igor Loi, Luigi Raffo
A high-efficiency runtime reconfigurable IP for CNN acceleration on a mid-range all-programmable SoC. ReConFig 2016: 1-8
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