BARTOLINI, ANDREA
BARTOLINI, ANDREA
DEI - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI"
Docenti di ruolo di IIa fascia
Modeling and Controlling Many-Core HPC Processors: an Alternative to PID and Moving Average Algorithms
In corso di stampa Bambini, Giovanni; Ottaviano, Alessandro; Conficoni, Christian; Tilli, Andrea; Benini, Luca; Bartolini, Andrea
A transformer-based approach for source code classification for heterogeneous device mapping
2026 Siino, Marco; Parisi, Emanuele; Barchi, Francesco; Acquaviva, Andrea; Bartolini, Andrea
An online algorithm for power consumption prediction of HPC workload
2026 Antici, F.; Borghesi, A.; Kiziltan, Z.; Domke, J.; Bartolini, A.
ANZIL: Attention-based network for zero-risk inspection of LiDAR point cloud in self-driving cars
2025 Jati, Grafika; Molan, Martin; Barchi, Francesco; Bartolini, Andrea; Acquaviva, Andrea
Bio-Inspired Drone Control: A Reinforcement Learning-Trained Spiking Neural Networks for Agile Navigation in Dynamic Environment
2025 Lee, Yin-Ching; Mengozzi, Sebastiano; Zanatta, Luca; Bartolini, Andrea; Acquaviva, Andrea; Barchi, Francesco
F-DATA: A Fugaku Workload Dataset for Job-centric Predictive Modelling in HPC Systems
2025 Antici, F.; Bartolini, A.; Domke, J.; Kiziltan, Z.; Yamamoto, K.
Assessing the Performance of OpenTitan as Cryptographic Accelerator in Secure Open-Hardware System-on-Chips
2024 Parisi, Emanuele; Musa, Alberto; Ciani, Maicol; Barchi, Francesco; Rossi, Davide; Bartolini, Andrea; Acquaviva, Andrea
AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks
2024 Jati, Grafika; Molan, Martin; Khan, Junaid Ahmed; Barchi, Francesco; Bartolini, Andrea; Mercurio, Giuseppe; Acquaviva, Andrea
Energy efficient and low-latency spiking neural networks on embedded microcontrollers through spiking activity tuning
2024 Barchi, Francesco; Parisi, Emanuele; Zanatta, Luca; Bartolini, Andrea; Acquaviva, Andrea
ExaQuery: Proving Data Structure to Unstructured Telemetry Data in Large-Scale HPC
2024 Junaid Ahmed Khan, Martin Molan, Matteo Angelinelli, Andrea Bartolini
Exploring spiking neural networks for deep reinforcement learning in robotic tasks
2024 Zanatta, Luca; Barchi, Francesco; Manoni, Simone; Tolu, Silvia; Bartolini, Andrea; Acquaviva, Andrea
Exploring the Utility of Graph Methods in HPC Thermal Modeling
2024 Guindani, Bruno; Molan, Martin; Bartolini, Andrea; Benini, Luca
F-DATA: A Fugaku Workload Dataset for Job-centric Predictive Modelling in HPC Systems
2024 Antici, Francesco; Bartolini, Andrea; Domke, Jens; Kiziltan, Zeynep; Yamamoto, Keiji
GRAAFE: GRaph anomaly anticipation framework for exascale HPC systems
2024 Molan, M.; Seyedkazemi Ardebili, Mohsen; Khan, J. A.; Beneventi, F.; Cesarini, D.; Borghesi, A.; Bartolini, A.
HazardNet: A thermal hazard prediction framework for datacenters
2024 Seyedkazemi Ardebili, Mohsen; Acquaviva, Andrea; Benini, Luca; Bartolini, Andrea
LIDAROC: Realistic LiDAR Cover Contamination Dataset for Enhancing Autonomous Vehicle Perception Reliability
2024 Jati, Grafika; Molan, Martin; Barchi, Francesco; Bartolini, Andrea; Mercurio, Giuseppe; Acquaviva, Andrea
MCBound: An Online Framework to Characterize and Classify Memory/Compute-bound HPC Jobs
2024 Antici, Francesco; Bartolini, Andrea; Kiziltan, Zeynep; Babaoglu, Ozalp; Kodama, Yuetsu
NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores
2024 Manoni, S.; Scheffler, P.; Di Mauro, A.; Zanatta, L.; Acquaviva, A.; Benini, L.; Bartolini, A.
TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle
2024 Jati, Grafika; Molan, Martin; Barchi, Francesco; Bartolini, Andrea; Acquaviva, Andrea
TitanCFI: Toward Enforcing Control-Flow Integrity in the Root-of-Trust
2024 Parisi, E.; Musa, A.; Manoni, S.; Ciani, M.; Rossi, D.; Barchi, F.; Bartolini, A.; Acquaviva, A.
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| Modeling and Controlling Many-Core HPC Processors: an Alternative to PID and Moving Average Algorithms | Bambini, Giovanni; Ottaviano, Alessandro; Conficoni, Christian; Tilli, Andrea; Benini, Luca; Bart...olini, Andrea | 9999-01-01 | ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS | - | 1.01 Articolo in rivista | - |
| A transformer-based approach for source code classification for heterogeneous device mapping | Siino, Marco; Parisi, Emanuele; Barchi, Francesco; Acquaviva, Andrea; Bartolini, Andrea | 2026-01-01 | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | - | 1.01 Articolo in rivista | 1-s2.0-S0952197625030180-main.pdf |
| An online algorithm for power consumption prediction of HPC workload | Antici, F.; Borghesi, A.; Kiziltan, Z.; Domke, J.; Bartolini, A. | 2026-01-01 | FUTURE GENERATION COMPUTER SYSTEMS | - | 1.01 Articolo in rivista | 1-s2.0-S0167739X25003590-main.pdf |
| ANZIL: Attention-based network for zero-risk inspection of LiDAR point cloud in self-driving cars | Jati, Grafika; Molan, Martin; Barchi, Francesco; Bartolini, Andrea; Acquaviva, Andrea | 2025-01-01 | EXPERT SYSTEMS WITH APPLICATIONS | - | 1.01 Articolo in rivista | 1-s2.0-S0957417425020317-main_compressed.pdf |
| Bio-Inspired Drone Control: A Reinforcement Learning-Trained Spiking Neural Networks for Agile Navigation in Dynamic Environment | Lee, Yin-Ching; Mengozzi, Sebastiano; Zanatta, Luca; Bartolini, Andrea; Acquaviva, Andrea; Barchi..., Francesco | 2025-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
| F-DATA: A Fugaku Workload Dataset for Job-centric Predictive Modelling in HPC Systems | Antici, F.; Bartolini, A.; Domke, J.; Kiziltan, Z.; Yamamoto, K. | 2025-01-01 | SCIENTIFIC DATA | - | 1.01 Articolo in rivista | s41597-025-05633-1.pdf |
| Assessing the Performance of OpenTitan as Cryptographic Accelerator in Secure Open-Hardware System-on-Chips | Parisi, Emanuele; Musa, Alberto; Ciani, Maicol; Barchi, Francesco; Rossi, Davide; Bartolini, Andr...ea; Acquaviva, Andrea | 2024-01-01 | - | Association for Computing Machinery, Inc | 4.01 Contributo in Atti di convegno | 3649153.3649213.pdf |
| AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks | Jati, Grafika; Molan, Martin; Khan, Junaid Ahmed; Barchi, Francesco; Bartolini, Andrea; Mercurio..., Giuseppe; Acquaviva, Andrea | 2024-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Energy efficient and low-latency spiking neural networks on embedded microcontrollers through spiking activity tuning | Barchi, Francesco; Parisi, Emanuele; Zanatta, Luca; Bartolini, Andrea; Acquaviva, Andrea | 2024-01-01 | NEURAL COMPUTING & APPLICATIONS | - | 1.01 Articolo in rivista | s00521-024-10191-5-1.pdf |
| ExaQuery: Proving Data Structure to Unstructured Telemetry Data in Large-Scale HPC | Junaid Ahmed Khan, Martin Molan, Matteo Angelinelli, Andrea Bartolini | 2024-01-01 | - | - | 4.01 Contributo in Atti di convegno | ExaQuery_GraphSys_24.pdf |
| Exploring spiking neural networks for deep reinforcement learning in robotic tasks | Zanatta, Luca; Barchi, Francesco; Manoni, Simone; Tolu, Silvia; Bartolini, Andrea; Acquaviva, Andrea | 2024-01-01 | SCIENTIFIC REPORTS | - | 1.01 Articolo in rivista | s41598-024-77779-8-1.pdf |
| Exploring the Utility of Graph Methods in HPC Thermal Modeling | Guindani, Bruno; Molan, Martin; Bartolini, Andrea; Benini, Luca | 2024-01-01 | - | Association for Computing Machinery, Inc | 4.01 Contributo in Atti di convegno | - |
| F-DATA: A Fugaku Workload Dataset for Job-centric Predictive Modelling in HPC Systems | Antici, Francesco; Bartolini, Andrea; Domke, Jens; Kiziltan, Zeynep; Yamamoto, Keiji | 2024-01-01 | - | - | 7.05 Banche dati | - |
| GRAAFE: GRaph anomaly anticipation framework for exascale HPC systems | Molan, M.; Seyedkazemi Ardebili, Mohsen; Khan, J. A.; Beneventi, F.; Cesarini, D.; Borghesi, A.; ...Bartolini, A. | 2024-01-01 | FUTURE GENERATION COMPUTER SYSTEMS | - | 1.01 Articolo in rivista | GRAAFE.pdf |
| HazardNet: A thermal hazard prediction framework for datacenters | Seyedkazemi Ardebili, Mohsen; Acquaviva, Andrea; Benini, Luca; Bartolini, Andrea | 2024-01-01 | FUTURE GENERATION COMPUTER SYSTEMS | - | 1.01 Articolo in rivista | - |
| LIDAROC: Realistic LiDAR Cover Contamination Dataset for Enhancing Autonomous Vehicle Perception Reliability | Jati, Grafika; Molan, Martin; Barchi, Francesco; Bartolini, Andrea; Mercurio, Giuseppe; Acquaviva..., Andrea | 2024-01-01 | IEEE SENSORS LETTERS | - | 1.01 Articolo in rivista | LIDAROC_Realistic_LiDAR_Cover_Contamination_Dataset_for_Enhancing_Autonomous_Vehicle_Perception_Reliability.pdf |
| MCBound: An Online Framework to Characterize and Classify Memory/Compute-bound HPC Jobs | Antici, Francesco; Bartolini, Andrea; Kiziltan, Zeynep; Babaoglu, Ozalp; Kodama, Yuetsu | 2024-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | SC24__MCBound_Framework.pdf |
| NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores | Manoni, S.; Scheffler, P.; Di Mauro, A.; Zanatta, L.; Acquaviva, A.; Benini, L.; Bartolini, A. | 2024-01-01 | - | Association for Computing Machinery, Inc | 4.01 Contributo in Atti di convegno | NARS__Neuromorphic_Acceleration_through_Register_Streaming_Extensions_on_RISC_V_Cores__ACM_ (1).pdf |
| TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle | Jati, Grafika; Molan, Martin; Barchi, Francesco; Bartolini, Andrea; Acquaviva, Andrea | 2024-01-01 | - | ACM Association for Computing Machinery | 4.01 Contributo in Atti di convegno | 3649153.3649201.pdf |
| TitanCFI: Toward Enforcing Control-Flow Integrity in the Root-of-Trust | Parisi, E.; Musa, A.; Manoni, S.; Ciani, M.; Rossi, D.; Barchi, F.; Bartolini, A.; Acquaviva, A. | 2024-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |