Ficarelli F.; Bartolini A.; Parisi E.; Beneventi F.; Barchi F.; Gregori D.; Magugliani F.; Cicala M.; Gianfreda C.; Cesarini D.; Acquaviva A.; Benini L., Poster: Meet Monte Cimone: Exploring RISC-V High Performance Compute Clusters, in: ACM International Conference Proceeding Series, Association for Computing Machinery, 2022, pp. 207 - 208 (atti di: 19th ACM International Conference on Computing Frontiers, CF 2022, Castello del Valentino, ita, 2022) [Contributo in Atti di convegno]
Nicola Elia; Francesco Barchi; Emanuele Parisi; Livio Pompianu; Salvatore Carta; Andrea Bartolini; Andrea Acquaviva, Smart Contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications, in: Advances in Databases and Information Systems: 26th European Conference, ADBIS 2022, Turin, Italy, September 5–8, 2022, Proceedings, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, SPRINGER INTERNATIONAL PUBLISHING AG, 2022, 13389 LNCS, pp. 377 - 391 (atti di: 26th European Conference, ADBIS 2022, Turin, Italy, September 5–8, 2022, Proceedings, Politecnico di Torino, 6/9/2022) [Contributo in Atti di convegno]
Parisi, E; Moallemi, A; Barchi, F; Bartolini, A; Brunelli, D; Buratti, N; Acquaviva, A, Time and Frequency Domain Assessment of Low-Power MEMS Accelerometers for Structural Health Monitoring, in: 2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2022, pp. 234 - 239 (atti di: Metrology for Industry 4.0 & IoT, Trento, Italy, 7-9 - June - 2022) [Contributo in Atti di convegno]Open Access
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. 1 - 11 [articolo]Open Access
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]
