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
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
ExaQuery: Proving Data Structure to Unstructured Telemetry Data in Large-Scale HPC
2024 Junaid Ahmed Khan, Martin Molan, Matteo Angelinelli, Andrea Bartolini
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.; Mohsen Seyedkazemi Ardebili; 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
MCBound: An Online Framework to Characterize and Classify Memory/Compute-bound HPC Jobs
2024 Antici, Francesco; Bartolini, Andrea; Kiziltan, Zeynep; Babaoglu, Ozalp; Kodama, Yuetsu
TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle
2024 Grafika Jati, Martin Molan, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva
ControlPULP: A RISC-V On-Chip Parallel Power Controller for Many-Core HPC Processors with FPGA-Based Hardware-In-The-Loop Power and Thermal Emulation
2023 Ottaviano, Alessandro; Balas, Robert; Bambini, Giovanni; Del Vecchio, Antonio; Ciani, Maicol; Rossi, Davide; Benini, Luca; Bartolini, Andrea
Dataset of the HazardNet: A Thermal Hazard Prediction Framework for Datacenters
2023 Mohsen Seyedkazemi Ardebili; Andrea ACQUAVIVA; LUCA BENINI; Andrea Bartolini
DECICE: Device-Edge-Cloud Intelligent Collaboration Framework
2023 Kunkel J.M.; Boehme C.; Decker J.; Magugliani F.; Pleiter D.; Koller B.; Sivalingam K.; Pllana S.; Nikolov A.; Soyturk M.; Racca C.; Bartolini A.; Tate A.; Yaman B.
Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator
2023 Zanatta, Luca; Di Mauro, Alfio; Barchi, Francesco; Bartolini, Andrea; Benini, Luca; Acquaviva, Andrea
ExaMon-X: a Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems
2023 Borghesi, Andrea; Burrello, Alessio; Bartolini, Andrea
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
Graph Neural Networks for Anomaly Anticipation in HPC Systems
2023 Molan M.; Ahmed Khan J.; Borghesi A.; Bartolini A.
Graph-Optimizer: Towards Predictable Large-Scale Graph Processing Workloads
2023 Varbanescu A.L.; Bartolini A.
M100 ExaData: a data collection campaign on the CINECA's Marconi100 Tier-0 supercomputer
2023 Borghesi, Andrea; Di Santi, Carmine; Molan, Martin; Ardebili, Mohsen Seyedkazemi; Mauri, Alessio; Guarrasi, Massimiliano; Galetti, Daniela; Cestari, Mirko; Barchi, Francesco; Benini, Luca; Beneventi, Francesco; Bartolini, Andrea
Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection
2023 Molan M.; Borghesi A.; Benini L.; Bartolini A.
PM100: A Job Power Consumption Dataset of a Large-Scale HPC System
2023 Francesco Antici; Mohsen Seyedkazemi Ardebili; Andrea Bartolini; Zeynep Kiziltan
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... espandi | 9999-01-01 | ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS | - | 1.01 Articolo in rivista | - |
AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks | Jati, Grafika; Molan, Martin; Khan, Junaid Ahmed; Barchi, Francesco; Bartolini, Andrea; Mercurio... espandi | 2024-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
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 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.; Mohsen Seyedkazemi Ardebili; Khan J.A.; Beneventi F.; Cesarini D.; Borghesi A.; Bartoli... espandi | 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 | - |
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 |
TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle | Grafika Jati, Martin Molan, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva | 2024-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
ControlPULP: A RISC-V On-Chip Parallel Power Controller for Many-Core HPC Processors with FPGA-Based Hardware-In-The-Loop Power and Thermal Emulation | Ottaviano, Alessandro; Balas, Robert; Bambini, Giovanni; Del Vecchio, Antonio; Ciani, Maicol; Ros... espandi | 2023-01-01 | INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING | - | 1.01 Articolo in rivista | ControlPULP A RISC-V On-Chip Parallel Power Controller for Many-Core HPC Processors with FPGA-Based Hardware-In-The-Loop Power and Thermal Emulation.pdf |
Dataset of the HazardNet: A Thermal Hazard Prediction Framework for Datacenters | Mohsen Seyedkazemi Ardebili; Andrea ACQUAVIVA; LUCA BENINI; Andrea Bartolini | 2023-01-01 | - | - | 7.05 Banche dati | - |
DECICE: Device-Edge-Cloud Intelligent Collaboration Framework | Kunkel J.M.; Boehme C.; Decker J.; Magugliani F.; Pleiter D.; Koller B.; Sivalingam K.; Pllana S.... espandi | 2023-01-01 | - | Association for Computing Machinery, Inc | 4.01 Contributo in Atti di convegno | - |
Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator | Zanatta, Luca; Di Mauro, Alfio; Barchi, Francesco; Bartolini, Andrea; Benini, Luca; Acquaviva, An... espandi | 2023-01-01 | NEUROCOMPUTING | - | 1.01 Articolo in rivista | Directly trained Spiking Neural Networks for Deep Reinforcement Learning Energy efficient implementation of event based obstacle avoidance on a neuromorphic accelerator.pdf |
ExaMon-X: a Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems | Borghesi, Andrea; Burrello, Alessio; Bartolini, Andrea | 2023-01-01 | IEEE INTERNET OF THINGS JOURNAL | - | 1.01 Articolo in rivista | postPrintVersion_plus_editorialReference.pdf |
Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning | Mittone, Gianluca; Tonci, Nicoló; Birke, Robert; Colonnelli, Iacopo; Medić, Doriana; Bartolini, A... espandi | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
Graph Neural Networks for Anomaly Anticipation in HPC Systems | Molan M.; Ahmed Khan J.; Borghesi A.; Bartolini A. | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
Graph-Optimizer: Towards Predictable Large-Scale Graph Processing Workloads | Varbanescu A.L.; Bartolini A. | 2023-01-01 | - | ACM | 4.01 Contributo in Atti di convegno | - |
M100 ExaData: a data collection campaign on the CINECA's Marconi100 Tier-0 supercomputer | Borghesi, Andrea; Di Santi, Carmine; Molan, Martin; Ardebili, Mohsen Seyedkazemi; Mauri, Alessio;... espandi | 2023-01-01 | SCIENTIFIC DATA | - | 1.01 Articolo in rivista | versione_editoriale.pdf |
Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection | Molan M.; Borghesi A.; Benini L.; Bartolini A. | 2023-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | EUROPAR_phd_symposium_preEditoriale-1.pdf |
PM100: A Job Power Consumption Dataset of a Large-Scale HPC System | Francesco Antici; Mohsen Seyedkazemi Ardebili; Andrea Bartolini; Zeynep Kiziltan | 2023-01-01 | - | - | 7.05 Banche dati | - |