Curbing the roofline: a scalable and flexible architecture for CNNs on FPGA. - Paolo Meloni; Gianfranco Deriu; Francesco Conti 001; Igor Loi; Luigi Raffo; Luca Benini (Conf. Computing Frontiers, 2016)

A high-efficiency runtime reconfigurable IP for CNN acceleration on a mid-range all-programmable SoC. - Paolo Meloni; Gianfranco Deriu; Francesco Conti 001; Igor Loi; Luigi Raffo; Luca Benini (ReConFig, 2016)

ALOHA: an architectural-aware framework for deep learning at the edge. - Paolo Meloni; Daniela Loi; Gianfranco Deriu; Andy D. Pimentel; Dolly Sapra; Bernhard Moser 001; Natalia Shepeleva; Francesco Conti 001; Luca Benini; Oscar Ripolles; David Solans; Maura Pintor; et al. (INTESA@ESWEEK, 2018)

Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project. - Paolo Meloni; Daniela Loi; Gianfranco Deriu; Andy D. Pimentel; Dolly Sapra; Maura Pintor; Battista Biggio; Oscar Ripolles; David Solans; Francesco Conti 001; Luca Benini; Todor P. Stefanov; et al. (ICM, 2018)

NEURAghe: Exploiting CPU-FPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs. - Paolo Meloni; Alessandro Capotondi; Gianfranco Deriu; Michele Brian; Francesco Conti 001; Davide Rossi; Luigi Raffo; Luca Benini (ACM Trans. Reconfigurable Technol. Syst., 2018)

Optimization and deployment of CNNs at the edge: the ALOHA experience. - Paolo Meloni; Daniela Loi; Paola Busia; Gianfranco Deriu; Andy D. Pimentel; Dolly Sapra; Todor P. Stefanov; Svetlana Minakova; Francesco Conti 001; Luca Benini; Maura Pintor; Battista Biggio; et al. (CF, 2019)

Flexible Acceleration of Convolutions on FPGAs: NEURAghe 2.0. - Marco Carreras; Gianfranco Deriu; Paolo Meloni (CPS Summer School, PhD Workshop, 2019)

CNN hardware acceleration on a low-power and low-cost APSoC. - Paolo Meloni; Antonio Garufi; Gianfranco Deriu; Marco Carreras; Daniela Loi (DASIP, 2019)

Exploring NEURAghe: A Customizable Template for APSoC-Based CNN Inference at the Edge. - Paolo Meloni; Daniela Loi; Gianfranco Deriu; Marco Carreras; Francesco Conti 001; Alessandro Capotondi; Davide Rossi (IEEE Embed. Syst. Lett., 2020)

Optimizing Temporal Convolutional Network Inference on FPGA-Based Accelerators. - Marco Carreras; Gianfranco Deriu; Luigi Raffo; Luca Benini; Paolo Meloni (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Task-Specific Automation in Deep Learning Processes. - 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; et al. (DEXA Workshops, 2021)

Target-Aware Neural Architecture Search and Deployment for Keyword Spotting. - Paola Busia; Gianfranco Deriu; Luca Rinelli; Cristina Chesta; Luigi Raffo; Paolo Meloni (IEEE Access, 2022)

An Automated Design Flow for Adaptive Neural Network Hardware Accelerators. - Francesco Ratto; Ángela Porras Máinez; Carlo Sau; Paolo Meloni; Gianfranco Deriu; Stefano Delucchi; Massimo Massa; Luigi Raffo; Francesca Palumbo (J. Signal Process. Syst., 2023)