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Andrea Bartolini

Professore associato

Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi"

Settore scientifico disciplinare: IINF-05/A Sistemi di elaborazione delle informazioni

Pubblicazioni

Jati, Grafika; Molan, Martin; Khan, Junaid Ahmed; Barchi, Francesco; Bartolini, Andrea; Mercurio, Giuseppe; Acquaviva, Andrea, AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks, in: May 2024, 2024, pp. 112 - 119 (atti di: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, London, United Kingdom, May 7–11, 2024) [Contributo in Atti di convegno]

Junaid Ahmed Khan, Martin Molan, Matteo Angelinelli, Andrea Bartolini, ExaQuery: Proving Data Structure to Unstructured Telemetry Data in Large-Scale HPC, in: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, pp. 127 - 134 (atti di: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, London, United Kingdom, May 7 - 11, 2024) [Contributo in Atti di convegno]Open Access

Molan M.; Mohsen Seyedkazemi Ardebili; Khan J.A.; Beneventi F.; Cesarini D.; Borghesi A.; Bartolini A., GRAAFE: GRaph anomaly anticipation framework for exascale HPC systems, «FUTURE GENERATION COMPUTER SYSTEMS», 2024, 160, pp. 644 - 653 [articolo]

Seyedkazemi Ardebili, Mohsen; Acquaviva, Andrea; Benini, Luca; Bartolini, Andrea, HazardNet: A thermal hazard prediction framework for datacenters, «FUTURE GENERATION COMPUTER SYSTEMS», 2024, 155, pp. 340 - 353 [articolo]

Antici, Francesco; Bartolini, Andrea; Kiziltan, Zeynep; Babaoglu, Ozalp; Kodama, Yuetsu, MCBound: An Online Framework to Characterize and Classify Memory/Compute-bound HPC Jobs, in: SC '24: Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis, 2024, pp. 1 - 15 (atti di: International Conference for High Performance Computing, Networking, Storage, and Analysis 24, Atlanta, 17-21 November 2024) [Contributo in Atti di convegno]

Grafika Jati, Martin Molan, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva, TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle, in: 2024, 2024, pp. 249 - 257 (atti di: 21st ACM International Conference on Computing Frontiers (CF' 24), Ischia, Italy, May 7 - 9, 2024) [Contributo in Atti di convegno]

Ottaviano, Alessandro; Balas, Robert; Bambini, Giovanni; Del Vecchio, Antonio; Ciani, Maicol; Rossi, Davide; Benini, Luca; Bartolini, Andrea, 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, «INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING», 2023, ., pp. . - . [articolo]Open Access

Mohsen Seyedkazemi Ardebili; Andrea ACQUAVIVA; LUCA BENINI; Andrea Bartolini, Dataset of the HazardNet: A Thermal Hazard Prediction Framework for Datacenters, 2023. [banche dati]

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., DECICE: Device-Edge-Cloud Intelligent Collaboration Framework, in: Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023, New York, NY, USA, Association for Computing Machinery, Inc, 2023, pp. 266 - 271 (atti di: 20th ACM International Conference on Computing Frontiers, CF 2023, italia, 2023) [Contributo in Atti di convegno]

Zanatta, Luca; Di Mauro, Alfio; Barchi, Francesco; Bartolini, Andrea; Benini, Luca; Acquaviva, Andrea, Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator, «NEUROCOMPUTING», 2023, 562, Article number: 126885, pp. 1 - 12 [articolo]Open Access

Borghesi, Andrea; Burrello, Alessio; Bartolini, Andrea, ExaMon-X: a Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems, «IEEE INTERNET OF THINGS JOURNAL», 2023, 10, pp. 2995 - 3005 [articolo]Open Access

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, Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning, in: CF '23: Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023, pp. 73 - 83 (atti di: CF '23: Proceedings of the 20th ACM International Conference on Computing Frontiers, bologna, italy, 9-11 may 2023) [Contributo in Atti di convegno]

Molan M.; Ahmed Khan J.; Borghesi A.; Bartolini A., Graph Neural Networks for Anomaly Anticipation in HPC Systems, in: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, pp. 239 - 244 (atti di: International Conference on Performance Engineering, Coimbra, Portugal, April 2023) [Contributo in Atti di convegno]

Varbanescu A.L.; Bartolini A., Graph-Optimizer: Towards Predictable Large-Scale Graph Processing Workloads, in: International Conference on Performance Engineering (ICPE '23 Companion), NY, ACM, 2023, pp. 255 - 256 (atti di: International Conference on Performance Engineering (ICPE '23 Companion), Coimbra, Portugal. A, April 15–19, 2023) [Contributo in Atti di convegno]

Molan M.; Borghesi A.; Benini L.; Bartolini A., Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection, in: Euro-Par 2022: Parallel Processing Workshops. Euro-Par 2022, Cham, Springer, «LECTURE NOTES IN COMPUTER SCIENCE», 2023, 13835 LNCS, pp. 294 - 298 (atti di: Euro-Par 2022: Parallel Processing Workshops. Euro-Par 2022, Glasgow (Scotland), 22-26 Agosto 2022) [Contributo in Atti di convegno]Open Access

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