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., 2021, pp. 878 - 883 (atti di: 2021 Design, Automation and Test in Europe Conference and Exhibition, DATE 2021, Grenoble, FR, 2021) [Contribution to conference proceedings]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 [Scientific article]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 [Scientific article]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) [Contribution to conference proceedings]
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 [Scientific article]
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 [Chapter or essay]
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) [Contribution to conference proceedings]
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) [Contribution to conference proceedings]
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) [Contribution to conference proceedings]
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) [Contribution to conference proceedings]
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) [Contribution to conference proceedings]
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 [Scientific article]
NITTALA, VENKATA RAMAKRISHNA; BARCHI, FRANCESCO; URGESE, GIANVITO; ACQUAVIVA, ANDREA, Toolchain integration of runtime variability and aging awareness in multicore platforms, in: Titolo volume non avvalorato, IEEE, 2016, pp. 1 - 6 (atti di: Forum on specification & Design Languages FDL 2016, Bremen, Germany, 14-16 September 2016) [Contribution to conference proceedings]
URGESE, GIANVITO; BARCHI, FRANCESCO; MACII, Enrico, Top-Down Profiling of Application Specific Many-core Neuromorphic Platforms, in: Titolo volume non avvalorato, IEEE, 2015, pp. 127 - 134 (atti di: IEEE 9th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-15), Turin (IT), September 23-25, 2015) [Contribution to conference proceedings]
URGESE, GIANVITO; BARCHI, FRANCESCO; MACII, Enrico; ACQUAVIVA, ANDREA, Top-down profiling methodology and new Partition and Placement tool to improve Spiking Neural Network simulations on a massively many-core neuromorphic platform, in: Titolo volume non avvalorato, 2015, pp. 1 - 1 (atti di: 10th SICC International Tutorial Workshop "Topics in nonlinear dynamics". Nonlinear Dynamics in Computational Neuroscience: from Physics and Biology to ICT, Turin (IT), September 7-9, 2015) [Abstract]
