Federica Filippini

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Service Systems

Top Venues

Publications

Federica Filippini, Jonatha Anselmi, Danilo Ardagna, Bruno Gaujal
A Stochastic Approach for Scheduling AI Training Jobs in GPU-Based Systems. IEEE Trans. Cloud Comput. 12 (1) (2024)
Roberto Sala, Federica Filippini, Danilo Ardagna, Daniele Lezzi, Francesc Lordan, Patrick Thiem
Greening AI: A Framework for Energy-Aware Resource Allocation of ML Training Jobs with Performance Guarantees. AINA (5) (2024)
Federica Filippini, Hamta Sedghani, Danilo Ardagna
SPACE4AI-R: a Runtime Management Tool for AI Applications Component Placement and Resource Scaling in Computing Continua. UCC (2023)
Federica Filippini, Boris Lublinsky, Maximilien de Bayser, Danilo Ardagna
Performance Models for Distributed Deep Learning Training Jobs on Ray. SEAA (2023)
Federica Filippini, Riccardo Cavadini, Danilo Ardagna, Riccardo Lancellotti, Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti
FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum. UCC (2023)
Federica Filippini, Marco Lattuada, Michele Ciavotta, Arezoo Jahani, Danilo Ardagna, Edoardo Amaldi
A Path Relinking Method for the Joint Online Scheduling and Capacity Allocation of DL Training Workloads in GPU as a Service Systems. IEEE Trans. Serv. Comput. 16 (3) (2023)
Abednego Wamuhindo Kambale, Hamta Sedghani, Federica Filippini, Giacomo Verticale, Danilo Ardagna
Runtime Management of Artificial Intelligence Applications for Smart Eyewears. UCC (2023)
Enrico Galimberti, Bruno Guindani, Federica Filippini, Hamta Sedghani, Danilo Ardagna, Germán Moltó, Miguel Caballer
OSCAR-P and aMLLibrary: Performance Profiling and Prediction of Computing Continua Applications. ICPE (Companion) (2023)
Hamta Sedghani, Federica Filippini, Danilo Ardagna
A Random Greedy based Design Time Tool for AI Applications Component Placement and Resource Selection in Computing Continua. EDGE (2021)
Federica Filippini, Danilo Ardagna, Marco Lattuada, Edoardo Amaldi, Maciek Riedl, Katarzyna Materka, Pawel Skrzypek, Michele Ciavotta, Fabrizio Magugliani, Marco Cicala
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS. FiCloud (2021)
Federica Filippini, Danilo Ardagna, Marco Lattuada, Edoardo Amaldi, Michele Ciavotta, Maciek Riedl, Katarzyna Materka, Pawel Skrzypek, Fabrizio Magugliani, Marco Cicala
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS. CoRR (2021)
Federica Filippini, Marco Lattuada, Arezoo Jahani, Michele Ciavotta, Danilo Ardagna, Edoardo Amaldi
Hierarchical Scheduling in on-demand GPU-as-a-Service Systems. SYNASC (2020)