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ORCIDAndrea Borghesi
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2020 – today
- 2020
[j5]Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu
, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi:
A machine learning approach to online fault classification in HPC systems. Future Gener. Comput. Syst. 110: 1009-1022 (2020)- [j4]Daniele Cesarini, Andrea Bartolini, Andrea Borghesi, Carlo Cavazzoni, Mathieu Luisier, Luca Benini:
Countdown Slack: A Run-Time Library to Reduce Energy Footprint in Large-Scale MPI Applications. IEEE Trans. Parallel Distributed Syst. 31(11): 2696-2709 (2020) - [c19]Andrea Borghesi, Giuseppe Tagliavini, Michele Lombardi, Luca Benini, Michela Milano:
Combining learning and optimization for transprecision computing. CF 2020: 10-18 - [c18]Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano:
Injective Domain Knowledge in Neural Networks for Transprecision Computing. LOD (1) 2020: 587-600 - [i12]Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano:
Injective Domain Knowledge in Neural Networks for Transprecision Computing. CoRR abs/2002.10214 (2020) - [i11]Andrea Borghesi, Giuseppe Tagliavini, Michele Lombardi, Luca Benini, Michela Milano:
Combining Learning and Optimization for Transprecision Computing. CoRR abs/2002.10890 (2020) - [i10]Michele Lombardi, Federico Baldo, Andrea Borghesi, Michela Milano:
An Analysis of Regularized Approaches for Constrained Machine Learning. CoRR abs/2005.10674 (2020) - [i9]Andrea Borghesi, Federico Baldo, Michela Milano:
Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey. CoRR abs/2005.10691 (2020) - [i8]Alberto Signoroni, Mattia Savardi, Sergio Benini, Nicola Adami, Riccardo Leonardi, Paolo Gibellini, Filippo Vaccher, Marco Ravanelli, Andrea Borghesi, Roberto Maroldi, Davide Farina:
End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays. CoRR abs/2006.04603 (2020) - [i7]Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi:
A Machine Learning Approach to Online Fault Classification in HPC Systems. CoRR abs/2007.14241 (2020)
2010 – 2019
- 2019
- [j3]Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini:
A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems. Eng. Appl. Artif. Intell. 85: 634-644 (2019) - [j2]Andrea Borghesi, Andrea Bartolini, Michela Milano, Luca Benini:
Pricing schemes for energy-efficient HPC systems: Design and exploration. Int. J. High Perform. Comput. Appl. 33(4) (2019) - [c17]Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini:
Anomaly Detection Using Autoencoders in High Performance Computing Systems. AAAI 2019: 9428-9433 - [c16]Andrea Borghesi, Antonio Libri, Luca Benini, Andrea Bartolini:
Online Anomaly Detection in HPC Systems. AICAS 2019: 229-233 - [c15]Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini:
Anomaly Detection using Autoencoders in High Performance Computing Systems. DDC@AI*IA 2019: 24-32 - [c14]Andrea Borghesi, Michela Milano, Luca Benini:
Frequency Assignment in High Performance Computing Systems. AI*IA 2019: 151-164 - [c13]Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi:
Online Fault Classification in HPC Systems Through Machine Learning. Euro-Par 2019: 3-16 - [c12]Andrea Bartolini, Francesco Beneventi, Andrea Borghesi, Daniele Cesarini, Antonio Libri, Luca Benini, Carlo Cavazzoni:
Paving the Way Toward Energy-Aware and Automated Datacentre. ICPP Workshops 2019: 8:1-8:8 - [i6]Andrea Borghesi, Antonio Libri, Luca Benini, Andrea Bartolini:
Online Anomaly Detection in HPC Systems. CoRR abs/1902.08447 (2019) - [i5]Daniele Cesarini, Andrea Bartolini, Andrea Borghesi, Carlo Cavazzoni, Mathieu Luisier, Luca Benini:
COUNTDOWN Slack: a Run-time Library to Reduce Energy Footprint in Large-scale MPI Applications. CoRR abs/1909.12684 (2019) - 2018
- [j1]Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini:
Scheduling-based power capping in high performance computing systems. Sustain. Comput. Informatics Syst. 19: 1-13 (2018) - [c11]Andrea Bartolini, Andrea Borghesi, Antonio Libri, Francesco Beneventi, Daniele Gregori, Simone Tinti, Cosimo Gianfreda, Piero Altoe:
The D.A.V.I.D.E. big-data-powered fine-grain power and performance monitoring support. CF 2018: 303-308 - [c10]Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi:
FINJ: A Fault Injection Tool for HPC Systems. Euro-Par Workshops 2018: 800-812 - [c9]Matthias Maiterth, Gregory A. Koenig, Kevin T. Pedretti, Siddhartha Jana, Natalie J. Bates, Andrea Borghesi, Dave Montoya, Andrea Bartolini, Milos Puzovic:
Energy and Power Aware Job Scheduling and Resource Management: Global Survey - Initial Analysis. IPDPS Workshops 2018: 685-693 - [i4]Andrea Borghesi, Andrea Bartolini, Michela Milano, Luca Benini:
Pricing Schemes for Energy-Efficient HPC Systems: Design and Exploration. CoRR abs/1806.05135 (2018) - [i3]Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi:
FINJ: A Fault Injection Tool for HPC Systems. CoRR abs/1807.10056 (2018) - [i2]Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi:
Online Fault Classification in HPC Systems through Machine Learning. CoRR abs/1810.11208 (2018) - [i1]Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini:
Anomaly Detection using Autoencoders in High Performance Computing Systems. CoRR abs/1811.05269 (2018) - 2017
- [b1]Andrea Borghesi:
Power-Aware Job Dispatching in High Performance Computing Systems. University of Bologna, Italy, 2017 - [c8]Wissam Abu Ahmad, Andrea Bartolini, Francesco Beneventi, Luca Benini, Andrea Borghesi, Marco Cicala, Privato Forestieri, Cosimo Gianfreda, Daniele Gregori, Antonio Libri, Filippo Spiga, Simone Tinti:
Design of an Energy Aware Petaflops Class High Performance Cluster Based on Power Architecture. IPDPS Workshops 2017: 964-973 - [c7]Cristian Galleguillos, Alina Sîrbu, Zeynep Kiziltan, Özalp Babaoglu, Andrea Borghesi, Thomas Bridi:
Data-Driven Job Dispatching in HPC Systems. MOD 2017: 449-461 - 2016
- [c6]Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini:
Predictive Modeling for Job Power Consumption in HPC Systems. ISC 2016: 181-199 - 2015
- [c5]Valerio Iachini, Andrea Borghesi, Michela Milano:
Agent Based Simulation of Incentive Mechanisms on Photovoltaic Adoption. AI*IA 2015: 136-148 - [c4]Andrea Borghesi, Francesca Collina, Michele Lombardi, Michela Milano, Luca Benini:
Power Capping in High Performance Computing Systems. CP 2015: 524-540 - [c3]Andrea Borghesi, Christian Conficoni, Michele Lombardi, Andrea Bartolini:
MS3: A Mediterranean-stile job scheduler for supercomputers - do less when it's too hot! HPCS 2015: 88-95 - 2014
- [c2]Andrea Bartolini, Andrea Borghesi, Thomas Bridi, Michele Lombardi, Michela Milano:
Proactive Workload Dispatching on the EURORA Supercomputer. CP 2014: 765-780 - 2013
- [c1]Andrea Borghesi, Michela Milano, Marco Gavanelli, Tony Woods:
Simulation Of Incentive Mechanisms For Renewable Energy Policies. ECMS 2013: 32-38
Coauthor Index
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