Gianfranco Deriu

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 15

Top Topics

Cellular Neural Networks

Learning Processes

Neural Architecture

Top Venues

ACM Trans. Reconfigurable Technol. Syst.

Publications

Francesco Ratto, Ángela Porras Máinez, Carlo Sau, Paolo Meloni, Gianfranco Deriu, Stefano Delucchi, Massimo Massa, Luigi Raffo, Francesca Palumbo
An Automated Design Flow for Adaptive Neural Network Hardware Accelerators. J. Signal Process. Syst. 95 (9) (2023)
Paola Busia, Gianfranco Deriu, Luca Rinelli, Cristina Chesta, Luigi Raffo, Paolo Meloni
Target-Aware Neural Architecture Search and Deployment for Keyword Spotting. IEEE Access 10 (2022)
Georg Buchgeher, Gerald Czech, Adriano Souza Ribeiro, Werner Kloihofer, Paolo Meloni, Paola Busia, Gianfranco Deriu, Maura Pintor, Battista Biggio, Cristina Chesta, Luca Rinelli, David Solans, Manuel Portela
Task-Specific Automation in Deep Learning Processes. DEXA Workshops (2021)
Marco Carreras, Gianfranco Deriu, Luigi Raffo, Luca Benini, Paolo Meloni
Optimizing Temporal Convolutional Network inference on FPGA-based accelerators. CoRR (2020)
Paolo Meloni, Daniela Loi, Gianfranco Deriu, Marco Carreras, Francesco Conti, Alessandro Capotondi, Davide Rossi
Exploring NEURAghe: A Customizable Template for APSoC-Based CNN Inference at the Edge. IEEE Embed. Syst. Lett. 12 (2) (2020)
Marco Carreras, Gianfranco Deriu, Luigi Raffo, Luca Benini, Paolo Meloni
Optimizing Temporal Convolutional Network Inference on FPGA-Based Accelerators. IEEE J. Emerg. Sel. Topics Circuits Syst. 10 (3) (2020)
Marco Carreras, Gianfranco Deriu, Paolo Meloni
Flexible Acceleration of Convolutions on FPGAs: NEURAghe 2.0. CPS Summer School, PhD Workshop (2019)
Paolo Meloni, Antonio Garufi, Gianfranco Deriu, Marco Carreras, Daniela Loi
CNN hardware acceleration on a low-power and low-cost APSoC. DASIP (2019)
Paolo Meloni, Daniela Loi, Paola Busia, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Todor P. Stefanov, Svetlana Minakova, Francesco Conti, Luca Benini, Maura Pintor, Battista Biggio, Bernhard Moser, Natalia Shepeleva, Nikos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo
Optimization and deployment of CNNs at the edge: the ALOHA experience. CF (2019)
Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Maura Pintor, Battista Biggio, Oscar Ripolles, David Solans, Francesco Conti, Luca Benini, Todor P. Stefanov, Svetlana Minakova, Bernhard Moser, Natalia Shepeleva, Michael Masin, Francesca Palumbo, Nikos Fragoulis, Ilias Theodorakopoulos
Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project. ICM (2018)
Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Bernhard Moser, Natalia Shepeleva, Francesco Conti, Luca Benini, Oscar Ripolles, David Solans, Maura Pintor, Battista Biggio, Todor P. Stefanov, Svetlana Minakova, Nikolaos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo
ALOHA: an architectural-aware framework for deep learning at the edge. INTESA@ESWEEK (2018)
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. ACM Trans. Reconfigurable Technol. Syst. 11 (3) (2018)
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 (2017)
Paolo Meloni, Gianfranco Deriu, Francesco Conti, Igor Loi, Luigi Raffo, Luca Benini
Curbing the roofline: a scalable and flexible architecture for CNNs on FPGA. Conf. Computing Frontiers (2016)
Paolo Meloni, Gianfranco Deriu, Francesco Conti, Igor Loi, Luigi Raffo, Luca Benini
A high-efficiency runtime reconfigurable IP for CNN acceleration on a mid-range all-programmable SoC. ReConFig (2016)