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BARTOLINI, ANDREA

BARTOLINI, ANDREA  

DEI - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI"  

Docenti di ruolo di IIa fascia  

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Risultati 1 - 20 di 174 (tempo di esecuzione: 0.033 secondi).
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 -
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 -
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...ni 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 -
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 - - 4.01 Contributo in Atti di convegno 3649153.3649201.pdf
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...si, Davide; Benini, Luca; Bartolini, Andrea 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....; Nikolov A.; Soyturk M.; Racca C.; Bartolini A.; Tate A.; Yaman B. 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...drea 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...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 -
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;... Guarrasi, Massimiliano; Galetti, Daniela; Cestari, Mirko; Barchi, Francesco; Benini, Luca; Beneventi, Francesco; Bartolini, Andrea 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