Borghesi, Andrea; Milano, Michela, Merging Observed and Self-Reported Behaviour in Agent-Based Simulation: A Case Study on Photovoltaic Adoption, «APPLIED SCIENCES», 2019, 9, pp. 2098 - 2118 [articolo]Open Access
Borghesi A.; Libri A.; Benini L.; Bartolini A., Online Anomaly Detection in HPC Systems, in: Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019, 2019, pp. 229 - 233 (atti di: IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019, Hsinchu, Taiwan, 18-20 March 2019) [Contributo in Atti di convegno]Open Access
Netti, Alessio; Kiziltan, Zeynep; Babaoglu, Ozalp; Sîrbu, Alina; Bartolini, Andrea; Borghesi, Andrea, Online Fault Classification in HPC Systems Through Machine Learning, in: Proceedings of the 25th European Conference on Parallel Processing, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 2019, 11725, pp. 3 - 16 (atti di: European Conference on Parallel Processing, Göttingen, Germany, August 26–30, 2019) [Contributo in Atti di convegno]
Bartolini, Andrea; Beneventi, Francesco; Borghesi, Andrea; Cesarini, Daniele; Libri, Antonio; Benini, Luca; Cavazzoni, Carlo, Paving the Way Toward Energy-Aware and Automated Datacentre, in: Proceedings of the 48th International Conference on Parallel Processing, 2019, pp. 1 - 8 (atti di: International Conference on Parallel Processing (ICPP), Kyoto, Japan, August 05 - 08, 2019) [Contributo in Atti di convegno]
Borghesi, Andrea; Bartolini, Andrea; Milano, Michela; Benini, Luca, Pricing schemes for energy-efficient HPC systems: Design and exploration, «INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS», 2019, 33, pp. 716 - 734 [articolo]
Cristian, Galleguillos; Sîrbu, Alina; Kiziltan, Zeynep; Babaoglu, Ozalp; Borghesi, Andrea; Bridi, Thomas, Data-Driven Job Dispatching in HPC Systems, in: Machine Learning, Optimization, and Big Data, 2018, 10710, pp. 449 - 461 (atti di: MOD 2017 - The Third International Conference on Machine Learning, Optimization and Big Data, Volterra, Italy, 14-17 September 2017) [Contributo in Atti di convegno]
Maiterth, Matthias; Koenig, Gregory; Pedretti, Kevin; Jana, Siddhartha; Bates, Natalie; Borghesi, Andrea; Montoya, Dave; Bartolini, Andrea; Puzovic, Milos, Energy and Power Aware Job Scheduling and Resource Management: Global Survey — Initial Analysis, in: Maiterth, Matthias, 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2018, pp. 685 - 693 (atti di: 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Vancouver, BC, Canada, Canada, 21-25 May 2018) [Contributo in Atti di convegno]
Borghesi, Andrea; Bartolini, Andrea; Lombardi, Michele; Milano, Michela; Benini, Luca, Scheduling-based power capping in high performance computing systems, «SUSTAINABLE COMPUTING», 2018, 19, pp. 1 - 13 [articolo]Open Access
Bartolini, Andrea; Borghesi, Andrea; Libri, Antonio; Beneventi, Francesco; Gregori, Daniele; Tinti, Simone; Gianfreda, Cosimo; Altoè, Piero, The D.A.V.I.D.E. big-data-powered fine-grain power and performance monitoring support, in: Proceedings of the 15th ACM International Conference on Computing Frontiers, CF 2018, Ischia, Italy, May 08-10, 2018, New York, ACM, 2018, pp. 303 - 308 (atti di: 15th ACM International Conference on Computing Frontiers, CF 2018, Ischia, Italy, May 08-10, 2018) [Contributo in Atti di convegno]Open Access
Abu Ahmad, Wissam; Bartolini, Andrea; Beneventi, Francesco; Benini, Luca; Borghesi, Andrea; Cicala, Marco; Forestieri, Privato; Gianfreda, Cosimo; Gregori, Daniele; Libri, Antonio; Spiga, Filippo; Tinti, Simone, Design of an Energy Aware Petaflops Class High Performance Cluster Based on Power Architecture, in: 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), IEEE, 2017, pp. 964 - 973 (atti di: 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Orlando / Buena Vista, FL, USA, USA, 29 May-2 June 2017) [Contributo in Atti di convegno]
Borghesi, Andrea; Bartolini, Andrea; Lombardi, Michele; Milano, Michela; Benini, Luca, Predictive modeling for job power consumption in HPC systems, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, 2016, 9697, pp. 181 - 199 (atti di: 31st International Conference on High Performance Computing, ISC High Performance 2016, deu, 2016) [Contributo in Atti di convegno]
Iachini, Valerio; Borghesi, Andrea; Milano, Michela, Agent based simulation of incentive mechanisms on photovoltaic adoption, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, 2015, 9336, pp. 136 - 148 (atti di: 14th International Conference of the Italian Association for Artificial Intelligence, 2015, ita, 2015) [Contributo in Atti di convegno]
Borghesi, Andrea; Conficoni, Christian; Lombardi, Michele; Bartolini, Andrea, MS3: A Mediterranean-stile job scheduler for supercomputers - Do less when it's too hot!, in: Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015, Institute of Electrical and Electronics Engineers Inc., 2015, pp. 88 - 95 (atti di: 13th International Conference on High Performance Computing and Simulation, HPCS 2015, nld, 2015) [Contributo in Atti di convegno]
Borghesi, Andrea; Collina, Francesca; Lombardi, Michele; Milano, Michela; Benini, Luca, Power capping in high performance computing systems, in: Principles and Practice of Constraint Programming. CP 2015, Berlin, Springer Verlag, 2015, pp. 524 - 540 (LECTURE NOTES IN COMPUTER SCIENCE) [capitolo di libro]Open Access
Borghesi, Andrea; Milano, Michela, Multi-agent simulator of incentive influence on PV adoption, in: 3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014, Institute of Electrical and Electronics Engineers Inc., 2014, pp. 556 - 560 (atti di: 3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014, usa, 2014) [Contributo in Atti di convegno]
