PARISI, EMANUELE
PARISI, EMANUELE
Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning
2023 Mittone, Gianluca; Tonci, Nicoló; Birke, Robert; Colonnelli, Iacopo; Medić, Doriana; Bartolini, Andrea; Esposito, Roberto; Parisi, Emanuele; Beneventi, Francesco; Polato, Mirko; Torquati, Massimo; Benini, Luca; Aldinucci, Marco
RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project
2023 Fornaciari, William; Reghenzani, Federico; Agosta, Giovanni; Zoni, Davide; Galimberti, Andrea; Conti, Francesco; Tortorella, Yvan; Parisi, Emanuele; Barchi, Francesco; Bartolini, Andrea; Acquaviva, Andrea; Gregori, Daniele; Cognetta, Salvatore; Ciancarelli, Carlo; Leboffe, Antonio; Serri, Paolo; Burrello, Alessio; Pagliari, Daniele Jahier; Urgese, Gianvito; Martina, Maurizio; Masera, Guido; Di Carlo, Rosario; Sciarappa, Antonio
RUST-Encoded Stream Ciphers on a RISC-V Parallel Ultra-Low-Power Processor
2023 Barchi F.; Pasini G.; Parisi E.; Tagliavini G.; Bartolini A.; Acquaviva A.
Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers
2022 Bartolini A.; Ficarelli F.; 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
2022 Ficarelli F.; Bartolini A.; Parisi E.; Beneventi F.; Barchi F.; Gregori D.; Magugliani F.; Cicala M.; Gianfreda C.; Cesarini D.; Acquaviva A.; Benini L.
Smart Contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications
2022 Nicola Elia; Francesco Barchi; Emanuele Parisi; Livio Pompianu; Salvatore Carta; Andrea Bartolini; Andrea Acquaviva
Time and Frequency Domain Assessment of Low-Power MEMS Accelerometers for Structural Health Monitoring
2022 Parisi, E; Moallemi, A; Barchi, F; Bartolini, A; Brunelli, D; Buratti, N; Acquaviva, A
Exploration of Convolutional Neural Network models for source code classification
2021 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 Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva
Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers
2021 Parisi E.; Barchi F.; Bartolini A.; Tagliavini G.; Acquaviva A.
Spiking neural network-based near-sensor computing for damage detection in structural health monitoring
2021 Barchi F.; Zanatta L.; Parisi E.; Burrello A.; Brunelli D.; Bartolini A.; Acquaviva A.
Benchmarking a many-core neuromorphic platform with an MPI-based DNA sequence matching algorithm
2019 Urgese Gianvito; Barchi Francesco; Parisi Emanuele; Forno Evelina; Acquaviva Andrea; Macii Enrico
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning | Mittone, Gianluca; Tonci, Nicoló; Birke, Robert; Colonnelli, Iacopo; Medić, Doriana; Bartolini, A...ndrea; Esposito, Roberto; Parisi, Emanuele; Beneventi, Francesco; Polato, Mirko; Torquati, Massimo; Benini, Luca; Aldinucci, Marco | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project | Fornaciari, William; Reghenzani, Federico; Agosta, Giovanni; Zoni, Davide; Galimberti, Andrea; Co...nti, Francesco; Tortorella, Yvan; Parisi, Emanuele; Barchi, Francesco; Bartolini, Andrea; Acquaviva, Andrea; Gregori, Daniele; Cognetta, Salvatore; Ciancarelli, Carlo; Leboffe, Antonio; Serri, Paolo; Burrello, Alessio; Pagliari, Daniele Jahier; Urgese, Gianvito; Martina, Maurizio; Masera, Guido; Di Carlo, Rosario; Sciarappa, Antonio | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| RUST-Encoded Stream Ciphers on a RISC-V Parallel Ultra-Low-Power Processor | Barchi F.; Pasini G.; Parisi E.; Tagliavini G.; Bartolini A.; Acquaviva A. | 2023-01-01 | - | Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing | 4.01 Contributo in Atti di convegno | - |
| Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers | Bartolini A.; Ficarelli F.; Parisi E.; Beneventi F.; Barchi F.; Gregori D.; Magugliani F.; Cicala... M.; Gianfreda C.; Cesarini D.; Acquaviva A.; Benini L. | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | monte cimone post print.pdf |
| Poster: Meet Monte Cimone: Exploring RISC-V High Performance Compute Clusters | Ficarelli F.; Bartolini A.; Parisi E.; Beneventi F.; Barchi F.; Gregori D.; Magugliani F.; Cicala... M.; Gianfreda C.; Cesarini D.; Acquaviva A.; Benini L. | 2022-01-01 | - | Association for Computing Machinery | 4.01 Contributo in Atti di convegno | - |
| Smart Contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications | Nicola Elia; Francesco Barchi; Emanuele Parisi; Livio Pompianu; Salvatore Carta; Andrea Bartolini...; Andrea Acquaviva | 2022-01-01 | - | SPRINGER INTERNATIONAL PUBLISHING AG | 4.01 Contributo in Atti di convegno | - |
| Time and Frequency Domain Assessment of Low-Power MEMS Accelerometers for Structural Health Monitoring | Parisi, E; Moallemi, A; Barchi, F; Bartolini, A; Brunelli, D; Buratti, N; Acquaviva, A | 2022-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | 2022_MetroInd.pdf |
| 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 | making the most post print.pdf |
| 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 | p2021_source_code_classification.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 | 2021_spiking_neural_network.pdf |
| 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 |