Sfoglia per Autore
Top-down profiling methodology and new Partition and Placement tool to improve Spiking Neural Network simulations on a massively many-core neuromorphic platform
2015-01-01 URGESE, GIANVITO; BARCHI, FRANCESCO; MACII, Enrico; ACQUAVIVA, ANDREA
Top-Down Profiling of Application Specific Many-core Neuromorphic Platforms
2015-01-01 URGESE, GIANVITO; BARCHI, FRANCESCO; MACII, Enrico
Optimizing Network Traffic for Spiking Neural Network Simulations on Densely Interconnected Many-Core Neuromorphic Platforms
2016-01-01 URGESE, GIANVITO; BARCHI, FRANCESCO; MACII, Enrico; ACQUAVIVA, ANDREA
Toolchain integration of runtime variability and aging awareness in multicore platforms
2016-01-01 NITTALA, VENKATA RAMAKRISHNA; BARCHI, FRANCESCO; URGESE, GIANVITO; ACQUAVIVA, ANDREA
Data and Commands Communication Protocol for Neuromorphic Platform Configuration
2016-01-01 SIINO, ALESSANDRO; BARCHI, FRANCESCO; Davies, Sergio; URGESE, GIANVITO; ACQUAVIVA, ANDREA
An Efficient MPI Implementation for Multi-Core Neuromorphic Platforms
2017-01-01 BARCHI, FRANCESCO; URGESE, GIANVITO; MACII, Enrico; ACQUAVIVA, ANDREA
Directed Graph Placement for SNN simulation into a multi-core GALS architecture
2018-01-01 Francesco Barchi; Gianvito Urgese; Andrea Acquaviva; Enrico Macii
Work-in-Progress: Multiple Alignment of Packet Sequences for Efficient Communication in a Many-Core Neuromorphic System
2018-01-01 Gianvito Urgese; Luca Peres; Francesco Barchi; Enrico Macii; Andrea Acquaviva
Work-in-Progress: Impact of Graph Partitioning on SNN Placement for a Multi-Core Neuromorphic Architecture
2018-01-01 BARCHI, FRANCESCO; Gianvito Urgese; Enrico Macii; Andrea Acquaviva
Mapping Spiking Neural Networks on Multi-core Neuromorphic Platforms: Problem Formulation and Performance Analysis
2019-01-01 Bombieri N. Pravadelli G. Fujita M. Austin T. Reis R.; Francesco Barchi; Gianvito Urgese; Enrico Macii; Andrea Acquaviva
Flexible on-line reconfiguration of multi-core neuromorphic platforms
2019-01-01 Barchi, Francesco; Urgese, Gianvito; Siino, Alessandro; Di Cataldo, Santa; Macii, Enrico; Acquaviva, Andrea
Code Mapping in Heterogeneous Platforms Using Deep Learning and LLVM-IR
2019-01-01 Francesco Barchi; Gianvito Urgese; Enrico Macii; Andrea Acquaviva
Benchmarking a many-core neuromorphic platform with an MPI-based DNA sequence matching algorithm
2019-01-01 Urgese Gianvito; Barchi Francesco; Parisi Emanuele; Forno Evelina; Acquaviva Andrea; Macii Enrico
Spiking neural network-based near-sensor computing for damage detection in structural health monitoring
2021-01-01 Barchi F.; Zanatta L.; Parisi E.; Burrello A.; Brunelli D.; Bartolini A.; Acquaviva A.
Damage detection in structural health monitoring with spiking neural networks
2021-01-01 Zanatta L.; Barchi F.; Burrello A.; Bartolini A.; Brunelli D.; Acquaviva A.
Exploration of Convolutional Neural Network models for source code classification
2021-01-01 Barchi F.; Parisi E.; Urgese G.; Ficarra E.; Acquaviva A.
Making the Most of Scarce Input Data in Deep Learning-based Source Code Classification for Heterogeneous Device Mapping
2021-01-01 Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva
Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers
2021-01-01 Parisi E.; Barchi F.; Bartolini A.; Tagliavini G.; Acquaviva A.
Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
---|---|---|---|---|---|---|
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 | 2015-01-01 | - | - | 4.02 Riassunto (Abstract) | - |
Top-Down Profiling of Application Specific Many-core Neuromorphic Platforms | URGESE, GIANVITO; BARCHI, FRANCESCO; MACII, Enrico | 2015-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
Optimizing Network Traffic for Spiking Neural Network Simulations on Densely Interconnected Many-Core Neuromorphic Platforms | URGESE, GIANVITO; BARCHI, FRANCESCO; MACII, Enrico; ACQUAVIVA, ANDREA | 2016-01-01 | IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING | - | 1.01 Articolo in rivista | - |
Toolchain integration of runtime variability and aging awareness in multicore platforms | NITTALA, VENKATA RAMAKRISHNA; BARCHI, FRANCESCO; URGESE, GIANVITO; ACQUAVIVA, ANDREA | 2016-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
Data and Commands Communication Protocol for Neuromorphic Platform Configuration | SIINO, ALESSANDRO; BARCHI, FRANCESCO; Davies, Sergio; URGESE, GIANVITO; ACQUAVIVA, ANDREA | 2016-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
An Efficient MPI Implementation for Multi-Core Neuromorphic Platforms | BARCHI, FRANCESCO; URGESE, GIANVITO; MACII, Enrico; ACQUAVIVA, ANDREA | 2017-01-01 | - | IEEE Computer Society | 4.01 Contributo in Atti di convegno | - |
Directed Graph Placement for SNN simulation into a multi-core GALS architecture | Francesco Barchi; Gianvito Urgese; Andrea Acquaviva; Enrico Macii | 2018-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
Work-in-Progress: Multiple Alignment of Packet Sequences for Efficient Communication in a Many-Core Neuromorphic System | Gianvito Urgese; Luca Peres; Francesco Barchi; Enrico Macii; Andrea Acquaviva | 2018-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
Work-in-Progress: Impact of Graph Partitioning on SNN Placement for a Multi-Core Neuromorphic Architecture | BARCHI, FRANCESCO; Gianvito Urgese; Enrico Macii; Andrea Acquaviva | 2018-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
Mapping Spiking Neural Networks on Multi-core Neuromorphic Platforms: Problem Formulation and Performance Analysis | Bombieri N. Pravadelli G. Fujita M. Austin T. Reis R.; Francesco Barchi; Gianvito Urgese; Enrico Macii; Andrea Acquaviva | 2019-01-01 | - | Springer | 2.01 Capitolo / saggio in libro | - |
Flexible on-line reconfiguration of multi-core neuromorphic platforms | Barchi, Francesco; Urgese, Gianvito; Siino, Alessandro; Di Cataldo, Santa; Macii, Enrico; Acquaviva, Andrea | 2019-01-01 | IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING | - | 1.01 Articolo in rivista | - |
Code Mapping in Heterogeneous Platforms Using Deep Learning and LLVM-IR | Francesco Barchi; Gianvito Urgese; Enrico Macii; Andrea Acquaviva | 2019-01-01 | - | ACM | 4.01 Contributo in Atti di convegno | - |
Benchmarking a many-core neuromorphic platform with an MPI-based DNA sequence matching algorithm | Urgese Gianvito; Barchi Francesco; Parisi Emanuele; Forno Evelina; Acquaviva Andrea; Macii Enrico | 2019-01-01 | ELECTRONICS | - | 1.01 Articolo in rivista | electronics-08-01342.pdf |
Spiking neural network-based near-sensor computing for damage detection in structural health monitoring | Barchi F.; Zanatta L.; Parisi E.; Burrello A.; Brunelli D.; Bartolini A.; Acquaviva A. | 2021-01-01 | FUTURE INTERNET | - | 1.01 Articolo in rivista | - |
Damage detection in structural health monitoring with spiking neural networks | Zanatta L.; Barchi F.; Burrello A.; Bartolini A.; Brunelli D.; Acquaviva A. | 2021-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
Exploration of Convolutional Neural Network models for source code classification | Barchi F.; Parisi E.; Urgese G.; Ficarra E.; Acquaviva A. | 2021-01-01 | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | - | 1.01 Articolo in rivista | - |
Making the Most of Scarce Input Data in Deep Learning-based Source Code Classification for Heterogeneous Device Mapping | Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva | 2021-01-01 | IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS | - | 1.01 Articolo in rivista | - |
Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers | Parisi E.; Barchi F.; Bartolini A.; Tagliavini G.; Acquaviva A. | 2021-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
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