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Francesco Barchi

Ricercatore a tempo determinato tipo a) (junior)

Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi"

Settore scientifico disciplinare: ING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI

Pubblicazioni

Zanatta L.; Barchi F.; Burrello A.; Bartolini A.; Brunelli D.; Acquaviva A., Damage detection in structural health monitoring with spiking neural networks, in: 2021 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2021 - Proceedings, New York, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 105 - 110 (atti di: 2021 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2021, Virtual Conference, 2021) [Contributo in Atti di convegno]

Barchi F.; Parisi E.; Urgese G.; Ficarra E.; Acquaviva A., Exploration of Convolutional Neural Network models for source code classification, «ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE», 2021, 97, Article number: 104075, pp. 104075 - 104085 [articolo]

Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva, Making the Most of Scarce Input Data in Deep Learning-based Source Code Classification for Heterogeneous Device Mapping, «IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS», 2021, 41, Article number: 9544064, pp. 1 - 12 [articolo]Open Access

Parisi E.; Barchi F.; Bartolini A.; Tagliavini G.; Acquaviva A., Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers, in: 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), Los Alamitos, Institute of Electrical and Electronics Engineers Inc., «PROCEEDINGS - DESIGN, AUTOMATION, AND TEST IN EUROPE CONFERENCE AND EXHIBITION», 2021, pp. 878 - 883 (atti di: 2021 Design, Automation and Test in Europe Conference and Exhibition, DATE 2021, Grenoble, FR, 2021) [Contributo in Atti di convegno]Open Access

Barchi F.; Zanatta L.; Parisi E.; Burrello A.; Brunelli D.; Bartolini A.; Acquaviva A., Spiking neural network-based near-sensor computing for damage detection in structural health monitoring, «FUTURE INTERNET», 2021, 13, Article number: 219, pp. 1 - 22 [articolo]Open Access

Urgese Gianvito; Barchi Francesco; Parisi Emanuele; Forno Evelina; Acquaviva Andrea; Macii Enrico, Benchmarking a many-core neuromorphic platform with an MPI-based DNA sequence matching algorithm, «ELECTRONICS», 2019, 8, Article number: 1342, pp. 1 - 15 [articolo]Open Access

Francesco Barchi; Gianvito Urgese; Enrico Macii; Andrea Acquaviva, Code Mapping in Heterogeneous Platforms Using Deep Learning and LLVM-IR, in: DAC conference proceedings, USA, ACM, 2019, pp. 1 - 6 (atti di: In 2019 56th ACM/ESDA/IEEE Design Automation Conference (DAC), Las Vegas USA, 2-6 June 2019) [Contributo in Atti di convegno]

Barchi, Francesco; Urgese, Gianvito; Siino, Alessandro; Di Cataldo, Santa; Macii, Enrico; Acquaviva, Andrea, Flexible on-line reconfiguration of multi-core neuromorphic platforms, «IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING», 2019, 9, Article number: 8676216, pp. 915 - 927 [articolo]

Bombieri N. Pravadelli G. Fujita M. Austin T. Reis R.; Francesco Barchi; Gianvito Urgese; Enrico Macii; Andrea Acquaviva, Mapping Spiking Neural Networks on Multi-core Neuromorphic Platforms: Problem Formulation and Performance Analysis, in: VLSI-SoC: Design and Engineering of Electronics Systems Based on New Computing Paradigms, Heidelberg, Springer, 2019, pp. 167 - 186 [capitolo di libro]

Francesco Barchi; Gianvito Urgese; Andrea Acquaviva; Enrico Macii, Directed Graph Placement for SNN simulation into a multi-core GALS architecture, in: Titolo volume non avvalorato, IEEE, 2018, pp. 19 - 24 (atti di: 26th IFIP/IEEE International Conference on Very Large Scale Integration, Verona, Italy, October 8-10, 2018) [Contributo in Atti di convegno]

BARCHI, FRANCESCO; Gianvito Urgese; Enrico Macii; Andrea Acquaviva, Work-in-Progress: Impact of Graph Partitioning on SNN Placement for a Multi-Core Neuromorphic Architecture, in: proceedings of CASES 2018, IEEE, 2018, pp. 1 - 6 (atti di: 2018 International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES), Turin, 2018) [Contributo in Atti di convegno]

Gianvito Urgese; Luca Peres; Francesco Barchi; Enrico Macii; Andrea Acquaviva, Work-in-Progress: Multiple Alignment of Packet Sequences for Efficient Communication in a Many-Core Neuromorphic System, in: Proceeding of CASES 2018, IEEE, 2018, pp. 1 - 6 (atti di: 2018 International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES), Munich, Germany, 2018) [Contributo in Atti di convegno]

BARCHI, FRANCESCO; URGESE, GIANVITO; MACII, Enrico; ACQUAVIVA, ANDREA, An Efficient MPI Implementation for Multi-Core Neuromorphic Platforms, in: Titolo volume non avvalorato, IEEE Computer Society, 2017, pp. 273 - 276 (atti di: 2017 New Generation of CAS (NGCAS), Genova (IT), 7-9 Settembre 2017) [Contributo in Atti di convegno]

SIINO, ALESSANDRO; BARCHI, FRANCESCO; Davies, Sergio; URGESE, GIANVITO; ACQUAVIVA, ANDREA, Data and Commands Communication Protocol for Neuromorphic Platform Configuration, in: Proceedings - IEEE 10th International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, MCSoC 2016, Institute of Electrical and Electronics Engineers Inc., 2016, pp. 23 - 30 (atti di: 10th IEEE International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, MCSoC 2016, Lione (France), 2016) [Contributo in Atti di convegno]

URGESE, GIANVITO; BARCHI, FRANCESCO; MACII, Enrico; ACQUAVIVA, ANDREA, Optimizing Network Traffic for Spiking Neural Network Simulations on Densely Interconnected Many-Core Neuromorphic Platforms, «IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING», 2016, 6, pp. 317 - 329 [articolo]

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