BARCHI, FRANCESCO

BARCHI, FRANCESCO  

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Citazione Data di pubblicazione Autori File
Damage Detection in Structural Health Monitoring with Spiking Neural Networks / Zanatta, L; Barchi, F; Burrello, A; Bartolini, A; Brunelli, D; Acquaviva, A. - (2021), pp. 105-110. (Intervento presentato al convegno 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)) [10.1109/METROIND4.0IOT51437.2021.9488476]. 1-gen-2021 Zanatta, LBarchi, FBurrello, ABartolini, A + _____date_eprop_v_.pdf
Code Mapping in Heterogeneous Platforms Using Deep Learning and LLVM-IR / Barchi, Francesco; Urgese, Gianvito; Macii, Enrico; Acquaviva, Andrea. - ELETTRONICO. - (2019). (Intervento presentato al convegno In 2019 56th ACM/ESDA/IEEE Design Automation Conference (DAC) tenutosi a Las Vegas USA nel 2-6 June 2019) [10.1145/3316781.3317789]. 1-gen-2019 Francesco BarchiGianvito UrgeseEnrico MaciiAndrea Acquaviva 08806950_post_print_editor.pdfdocument_post_print.pdf
Mapping Spiking Neural Networks on Multi-core Neuromorphic Platforms: Problem Formulation and Performance Analysis / Barchi, Francesco; Urgese, Gianvito; Macii, Enrico; Acquaviva, Andrea. - ELETTRONICO. - (2019), pp. 167-186. (Intervento presentato al convegno 26th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2018, Verona, Italy, October 8–10, 2018) [10.1007/978-3-030-23425-6_9]. 1-gen-2019 Francesco BarchiGianvito UrgeseEnrico MaciiAndrea Acquaviva barchi2019mapping_post_print_editor.pdfbarchi2019mapping_pre_print.pdf
Directed Graph Placement for SNN simulation into a multi-core GALS architecture / Barchi, Francesco; Urgese, Gianvito; Acquaviva, Andrea; Macii, Enrico. - ELETTRONICO. - (2018). (Intervento presentato al convegno 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC 2018) tenutosi a Verona, Italy nel October 8-10, 2018) [10.1109/VLSI-SoC.2018.8644782]. 1-gen-2018 Francesco BarchiGianvito UrgeseAndrea AcquavivaEnrico Macii 08644782_post_print_editor.pdfdocument_pre_print.pdf
Work-in-Progress: Impact of Graph Partitioning on SNN Placement for a Multi-Core Neuromorphic Architecture / Barchi, Francesco; Urgese, Gianvito; Macii, Enrico; Acquaviva, Andrea. - ELETTRONICO. - (2018). (Intervento presentato al convegno International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES 2018) tenutosi a Turin nel 30 Sept.-5 Oct. 2018) [10.1109/CASES.2018.8516831]. 1-gen-2018 BARCHI, FRANCESCOGianvito UrgeseEnrico MaciiAndrea Acquaviva 3283552.3283556_post_print_editor.pdf2018___SpiNNaker_Graph_Partitioning___WiP.pdf
Work-in-Progress: Multiple Alignment of Packet Sequences for Efficient Communication in a Many-Core Neuromorphic System / Urgese, Gianvito; Peres, Luca; Barchi, Francesco; Macii, Enrico; Acquaviva, Andrea. - ELETTRONICO. - (2018). (Intervento presentato al convegno 2018 International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES) nel 2018) [10.1109/CASES.2018.8516870]. 1-gen-2018 Gianvito UrgeseFrancesco BarchiEnrico MaciiAndrea Acquaviva + urgese2018multipleFinal_IEEE_pre_print.pdf08516870_post_print_editor.pdf
An Efficient MPI Implementation for Multi-Core Neuromorphic Platforms / Barchi, Francesco; Urgese, Gianvito; Macii, Enrico; Acquaviva, Andrea. - ELETTRONICO. - (2017), pp. 273-276. (Intervento presentato al convegno 2017 New Generation of CAS (NGCAS) tenutosi a Genova (IT) nel 7-9 Settembre 2017) [10.1109/NGCAS.2017.31]. 1-gen-2017 BARCHI, FRANCESCOURGESE, GIANVITOMACII, EnricoACQUAVIVA, ANDREA 08052322_post_print_editor.pdfmain_pre_print.pdf
Data and Commands Communication Protocol for Neuromorphic Platform Configuration / Siino, Alessandro; Barchi, Francesco; Davies, Sergio; Urgese, Gianvito; Acquaviva, Andrea. - ELETTRONICO. - (2016), pp. 23-30. (Intervento presentato al convegno 10th IEEE International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, MCSoC 2016 tenutosi a Lione (France) nel 2016) [10.1109/MCSoC.2016.41]. 1-gen-2016 SIINO, ALESSANDROBARCHI, FRANCESCOURGESE, GIANVITOACQUAVIVA, ANDREA + -
Toolchain integration of runtime variability and aging awareness in multicore platforms / Nittala, VENKATA RAMAKRISHNA; Barchi, Francesco; Urgese, Gianvito; Acquaviva, Andrea. - ELETTRONICO. - (2016). (Intervento presentato al convegno Forum on specification & Design Languages FDL 2016 tenutosi a Bremen, Germany nel 14-16 September 2016) [10.1109/FDL.2016.7880384]. 1-gen-2016 NITTALA, VENKATA RAMAKRISHNABARCHI, FRANCESCOURGESE, GIANVITOACQUAVIVA, ANDREA 07880384.pdf
Top-down profiling methodology and new Partition and Placement tool to improve Spiking Neural Network simulations on a massively many-core neuromorphic platform / Urgese, Gianvito; Barchi, Francesco; Macii, Enrico; Acquaviva, Andrea. - ELETTRONICO. - (2015). (Intervento presentato al convegno 10th SICC International Tutorial Workshop "Topics in nonlinear dynamics". Nonlinear Dynamics in Computational Neuroscience: from Physics and Biology to ICT tenutosi a Turin (IT) nel September 7-9, 2015). 1-gen-2015 URGESE, GIANVITOBARCHI, FRANCESCOMACII, EnricoACQUAVIVA, ANDREA Abstract_Urgese_v3.pdf
Top-Down Profiling of Application Specific Many-core Neuromorphic Platforms / Urgese, Gianvito; Barchi, Francesco; Macii, Enrico. - ELETTRONICO. - (2015), pp. 127-134. (Intervento presentato al convegno IEEE 9th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-15) tenutosi a Turin (IT) nel September 23-25, 2015) [10.1109/MCSoC.2015.43]. 1-gen-2015 URGESE, GIANVITOBARCHI, FRANCESCOMACII, Enrico Urgese_MCSoC_2015.pdf