| Optimizing network traffic for spiking neural network simulations on densely interconnected many-core neuromorphic platforms G Urgese, F Barchi, E Macii, A Acquaviva IEEE Transactions on Emerging Topics in Computing 6 (3), 317-329, 2016 | 44 | 2016 |
| Exploration of Convolutional Neural Network models for source code classification F Barchi, E Parisi, G Urgese, E Ficarra, A Acquaviva Engineering Applications of Artificial Intelligence 97, 104075, 2021 | 32 | 2021 |
| Code mapping in heterogeneous platforms using deep learning and llvm-ir F Barchi, G Urgese, E Macii, A Acquaviva Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 26 | 2019 |
| Top-down profiling of application specific many-core neuromorphic platforms G Urgese, F Barchi, E Macii 2015 IEEE 9th International Symposium on Embedded Multicore/Many-core …, 2015 | 16 | 2015 |
| Spiking Neural Network-Based Near-Sensor Computing for Damage Detection in Structural Health Monitoring F Barchi, L Zanatta, E Parisi, A Burrello, D Brunelli, A Bartolini, ... Future Internet 13 (8), 219, 2021 | 15 | 2021 |
| Enhancing workplace safety: A flexible approach for personal protective equipment monitoring A Pisu, N Elia, L Pompianu, F Barchi, A Acquaviva, S Carta Expert Systems with Applications 238, 122285, 2024 | 14 | 2024 |
| M100 ExaData: a data collection campaign on the CINECA’s Marconi100 Tier-0 supercomputer A Borghesi, C Di Santi, M Molan, MS Ardebili, A Mauri, M Guarrasi, ... Scientific Data 10 (1), 288, 2023 | 14 | 2023 |
| Damage Detection in Structural Health Monitoring with Spiking Neural Networks L Zanatta, F Barchi, A Burrello, A Bartolini, D Brunelli, A Acquaviva 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT …, 2021 | 13 | 2021 |
| Time and Frequency Domain Assessment of Low-Power MEMS Accelerometers for Structural Health Monitoring E Parisi, A Moallemi, F Barchi, A Bartolini, D Brunelli, N Buratti, ... 2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT …, 2022 | 12 | 2022 |
| Meet Monte Cimone: exploring RISC-V high performance compute clusters F Ficarelli, A Bartolini, E Parisi, F Beneventi, F Barchi, D Gregori, ... Proceedings of the 19th ACM International Conference on Computing Frontiers …, 2022 | 11 | 2022 |
| Flexible on-line reconfiguration of multi-core neuromorphic platforms F Barchi, G Urgese, A Siino, S Di Cataldo, E Macii, A Acquaviva IEEE Transactions on Emerging Topics in Computing 9 (2), 915-927, 2019 | 11 | 2019 |
| Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator L Zanatta, A Di Mauro, F Barchi, A Bartolini, L Benini, A Acquaviva Neurocomputing 562, 126885, 2023 | 10 | 2023 |
| Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers A Bartolini, F Ficarelli, E Parisi, F Beneventi, F Barchi, D Gregori, ... 2022 IEEE 35th International System-on-Chip Conference (SOCC), 1-6, 2022 | 10 | 2022 |
| Smart Contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications N Elia, F Barchi, E Parisi, L Pompianu, S Carta, A Bartolini, A Acquaviva European Conference on Advances in Databases and Information Systems, 377-391, 2022 | 10 | 2022 |
| Benchmarking a Many-Core Neuromorphic Platform With an MPI-Based DNA Sequence Matching Algorithm G Urgese, F Barchi, E Parisi, E Forno, A Acquaviva, E Macii Electronics 8 (11), 1342, 2019 | 10 | 2019 |
| Directed Graph Placement for SNN Simulation into a multi-core GALS Architecture F Barchi, G Urgese, A Acquaviva, E Macii 2018 IFIP/IEEE International Conference on Very Large Scale Integration …, 2018 | 9 | 2018 |
| Deep Learning Approaches to Source Code Analysis for Optimization of Heterogeneous Systems: Recent Results, Challenges and Opportunities F Barchi, E Parisi, A Bartolini, A Acquaviva Journal of Low Power Electronics and Applications 12 (3), 37, 2022 | 7 | 2022 |
| Data and commands communication protocol for neuromorphic platform configuration A Siino, F Barchi, S Davies, G Urgese, A Acquaviva 2016 IEEE 10th International Symposium on Embedded Multicore/Many-core …, 2016 | 7 | 2016 |
| An Efficient MPI Implementation for Multi-Coreneuromorphic Platforms F Barchi, G Urgese, E Macii, A Acquaviva 2017 New Generation of CAS (NGCAS), 273-276, 2017 | 6 | 2017 |
| Artificial versus spiking neural networks for reinforcement learning in UAV obstacle avoidance L Zanatta, F Barchi, A Bartolini, A Acquaviva Proceedings of the 19th ACM International Conference on Computing Frontiers …, 2022 | 5 | 2022 |
Andrea AcquavivaFull Professor, Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi"Adresă de e-mail confirmată pe unibo.it
