Alessandro Capotondi

According to our database, Alessandro Capotondi authored at least 39 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ShareBERT: Embeddings Are Capable of Learning Hidden Layers.

Jia-Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

The Importance of Worst-Case Memory Contention Analysis for Heterogeneous SoCs.

Lorenzo Carletti, Gianluca Brilli, Alessandro Capotondi, Paolo Valente, Andrea Marongiu

CoRR, 2023

Heterogeneous Encoders Scaling in the Transformer for Neural Machine Translation.

Jia-Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi

Proceedings of the Seventh Workshop on Natural Language for Artificial Intelligence (NL4AI 2023) co-located with 22th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

A Request for Clarity over the End of Sequence Token in the Self-Critical Sequence Training.

Jia-Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC.

Luca Valente, Yvan Tortorella, Mattia Sinigaglia, Giuseppe Tagliavini, Alessandro Capotondi, Luca Benini, Davide Rossi

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Fine-Grained QoS Control via Tightly-Coupled Bandwidth Monitoring and Regulation for FPGA-based Heterogeneous SoCs.

Gianluca Brilli, Giacomo Valente, Alessandro Capotondi, Paolo Burgio, T. Di Masciov, Paolo Valente, Andrea Marongiu

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Exploiting Multiple Sequence Lengths in Fast End to End Training for Image Captioning.

Jia-Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi

Proceedings of the IEEE International Conference on Big Data, 2023

2022

ExpansionNet v2: Block Static Expansion in fast end to end training for Image Captioning.

Jia-Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi

CoRR, 2022

Understanding and Mitigating Memory Interference in FPGA-based HeSoCs.

Gianluca Brilli, Alessandro Capotondi, Paolo Burgio, Andrea Marongiu

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

An FPGA Overlay for Efficient Real-Time Localization in 1/10th Scale Autonomous Vehicles.

Andrea Bernardi, Gianluca Brilli, Alessandro Capotondi, Andrea Marongiu, Paolo Burgio

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles.

Miguel de Prado, Manuele Rusci, Alessandro Capotondi, Romain Donze, Luca Benini, Nuria Pazos

Sensors, 2021

A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays.

Leonardo Ravaglia, Manuele Rusci, Davide Nadalini, Alessandro Capotondi, Francesco Conti, Luca Benini

IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles.

Miguel de Prado, Manuele Rusci, Romain Donze, Alessandro Capotondi, Serge Monnerat, Luca Benini, Nuria Pazos

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Unmanned Vehicles in Smart Farming: a Survey and a Glance at Future Horizons.

Daniel Madroñal, Francesca Palumbo, Alessandro Capotondi, Andrea Marongiu

Proceedings of the DroneSE and RAPIDO '21: Methods and Tools, 2021

A RISC-V-based FPGA Overlay to Simplify Embedded Accelerator Deployment.

Gianluca Bellocchi, Alessandro Capotondi, Francesco Conti, Andrea Marongiu

Proceedings of the 24th Euromicro Conference on Digital System Design, 2021

2020

CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices.

Alessandro Capotondi, Manuele Rusci, Marco Fariselli, Luca Benini

IEEE Trans. Circuits Syst. II Express Briefs, 2020

Exploring NEURAghe: A Customizable Template for APSoC-Based CNN Inference at the Edge.

Paolo Meloni, Daniela Loi, Gianfranco Deriu, Marco Carreras, Francesco Conti, Alessandro Capotondi, Davide Rossi

IEEE Embed. Syst. Lett., 2020

Robust navigation with tinyML for autonomous mini-vehicles.

Miguel de Prado, Romain Donze, Alessandro Capotondi, Manuele Rusci, Serge Monnerat, Luca Benini, Nuria Pazos

CoRR, 2020

Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node.

Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi, Francesco Conti, Lorenzo Pellegrini, Vincenzo Lomonaco, Davide Maltoni, Luca Benini

Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

Leveraging Automated Mixed-Low-Precision Quantization for Tiny Edge Microcontrollers.

Manuele Rusci, Marco Fariselli, Alessandro Capotondi, Luca Benini

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Memory-Driven Mixed Low Precision Quantization for Enabling Deep Network Inference on Microcontrollers.

Manuele Rusci, Alessandro Capotondi, Luca Benini

Proceedings of Machine Learning and Systems 2020, 2020

A Systematic Assessment of Embedded Neural Networks for Object Detection.

Micaela Verucchi, Gianluca Brilli, Davide Sapienza, Mattia Verasani, Marco Arena, Francesco Gatti, Alessandro Capotondi, Roberto Cavicchioli, Marko Bertogna, Marco Solieri

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

Mixed-data-model heterogeneous compilation and OpenMP offloading.

Andreas Kurth, Koen Wolters, Björn Forsberg, Alessandro Capotondi, Andrea Marongiu, Tobias Grosser, Luca Benini

Proceedings of the CC '20: 29th International Conference on Compiler Construction, 2020

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, Davide Rossi, Luigi Raffo, Luca Benini

ACM Trans. Reconfigurable Technol. Syst., 2018

The Quest for Energy-Efficient I$ Design in Ultra-Low-Power Clustered Many-Cores.

Igor Loi, Alessandro Capotondi, Davide Rossi, Andrea Marongiu, Luca Benini

IEEE Trans. Multi Scale Comput. Syst., 2018

Runtime Support for Multiple Offload-Based Programming Models on Clustered Manycore Accelerators.

Alessandro Capotondi, Andrea Marongiu, Luca Benini

IEEE Trans. Emerg. Top. Comput., 2018

Quantized NNs as the definitive solution for inference on low-power ARM MCUs?: work-in-progress.

Manuele Rusci, Alessandro Capotondi, Francesco Conti, Luca Benini

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2018

HERO: an open-source research platform for HW/SW exploration of heterogeneous manycore systems.

Andreas Kurth, Alessandro Capotondi, Pirmin Vogel, Luca Benini, Andrea Marongiu

Proceedings of the 2nd Workshop on AutotuniNg and aDaptivity AppRoaches for Energy efficient HPC Systems, 2018

2017

HERO: Heterogeneous Embedded Research Platform for Exploring RISC-V Manycore Accelerators on FPGA.

Andreas Kurth, Pirmin Vogel, Alessandro Capotondi, Andrea Marongiu, Luca Benini

CoRR, 2017

Enabling zero-copy OpenMP offloading on the PULP many-core accelerator.

Alessandro Capotondi, Andrea Marongiu

Proceedings of the 20th International Workshop on Software and Compilers for Embedded Systems, 2017

2016

Programming models and tools for many-core platforms ; Modelli e strumenti di programmazione parallela per piattaforme many-core.

Alessandro Capotondi

PhD thesis, 2016

Controlling NUMA effects in embedded manycore applications with lightweight nested parallelism support.

Andrea Marongiu, Alessandro Capotondi, Luca Benini

Parallel Comput., 2016

On the effectiveness of OpenMP teams for cluster-based many-core accelerators.

Alessandro Capotondi, Andrea Marongiu

Proceedings of the International Conference on High Performance Computing & Simulation, 2016

2015

Simplifying Many-Core-Based Heterogeneous SoC Programming With Offload Directives.

Andrea Marongiu, Alessandro Capotondi, Giuseppe Tagliavini, Luca Benini

IEEE Trans. Ind. Informatics, 2015

Enabling Scalable and Fine-Grained Nested Parallelism on Embedded Many-cores.

Alessandro Capotondi, Andrea Marongiu, Luca Benini

Proceedings of the IEEE 9th International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2015

PULP: A parallel ultra low power platform for next generation IoT applications.

Davide Rossi, Francesco Conti, Andrea Marongiu, Antonio Pullini, Igor Loi, Michael Gautschi, Giuseppe Tagliavini, Alessandro Capotondi, Philippe Flatresse, Luca Benini

Proceedings of the 2015 IEEE Hot Chips 27 Symposium (HCS), 2015

Runtime Support for Multiple Offload-Based Programming Models on Embedded Manycore Accelerators.

Alessandro Capotondi, Germain Haugou, Andrea Marongiu, Luca Benini

Proceedings of the 2015 International Workshop on Code Optimisation for Multi and Many Cores, 2015

2014

Augmenting manycore programmable accelerators with photonic interconnect technology for the high-end embedded computing domain.

Marco Balboni, Marta Ortín-Obón, Alessandro Capotondi, Hervé Tatenguem Fankem, Alberto Ghiribaldi, Luca Ramini, Víctor Viñals, Andrea Marongiu, Davide Bertozzi

Proceedings of the Eighth IEEE/ACM International Symposium on Networks-on-Chip, 2014

2013

Improving the programmability of STHORM-based heterogeneous systems with offload-enabled OpenMP.

Andrea Marongiu, Alessandro Capotondi, Giuseppe Tagliavini, Luca Benini

Proceedings of the 1st International Workshop on Many-core Embedded Systems 2013, 2013