Gianfranco Deriu

According to our database1, Gianfranco Deriu authored at least 13 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
An Automated Design Flow for Adaptive Neural Network Hardware Accelerators.
J. Signal Process. Syst., September, 2023

2022
Target-Aware Neural Architecture Search and Deployment for Keyword Spotting.
IEEE Access, 2022

2021
Task-Specific Automation in Deep Learning Processes.
Proceedings of the Database and Expert Systems Applications - DEXA 2021 Workshops, 2021

2020
Optimizing Temporal Convolutional Network Inference on FPGA-Based Accelerators.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Exploring NEURAghe: A Customizable Template for APSoC-Based CNN Inference at the Edge.
IEEE Embed. Syst. Lett., 2020

2019
CNN hardware acceleration on a low-power and low-cost APSoC.
Proceedings of the 2019 Conference on Design and Architectures for Signal and Image Processing, 2019

Flexible Acceleration of Convolutions on FPGAs: NEURAghe 2.0.
Proceedings of the Cyber-Physical Systems PhD Workshop 2019, an event held within the CPS Summer School "Designing Cyber-Physical Systems, 2019

Optimization and deployment of CNNs at the edge: the ALOHA experience.
Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

2018
NEURAghe: Exploiting CPU-FPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs.
ACM Trans. Reconfigurable Technol. Syst., 2018

Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project.
Proceedings of the 30th International Conference on Microelectronics, 2018

ALOHA: an architectural-aware framework for deep learning at the edge.
Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications, 2018

2016
A high-efficiency runtime reconfigurable IP for CNN acceleration on a mid-range all-programmable SoC.
Proceedings of the International Conference on ReConFigurable Computing and FPGAs, 2016

Curbing the roofline: a scalable and flexible architecture for CNNs on FPGA.
Proceedings of the ACM International Conference on Computing Frontiers, CF'16, 2016


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