Federica Filippini

According to our database, Federica Filippini authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Stochastic Approach for Scheduling AI Training Jobs in GPU-Based Systems.

Federica Filippini, Jonatha Anselmi, Danilo Ardagna, Bruno Gaujal

IEEE Trans. Cloud Comput., 2024

Greening AI: A Framework for Energy-Aware Resource Allocation of ML Training Jobs with Performance Guarantees.

Roberto Sala, Federica Filippini, Danilo Ardagna, Daniele Lezzi, Francesc Lordan, Patrick Thiem

Proceedings of the Advanced Information Networking and Applications, 2024

2023

A Path Relinking Method for the Joint Online Scheduling and Capacity Allocation of DL Training Workloads in GPU as a Service Systems.

Federica Filippini, Marco Lattuada, Michele Ciavotta, Arezoo Jahani, Danilo Ardagna, Edoardo Amaldi

IEEE Trans. Serv. Comput., 2023

OSCAR-P and aMLLibrary: Performance Profiling and Prediction of Computing Continua Applications.

Enrico Galimberti, Bruno Guindani, Federica Filippini, Hamta Sedghani, Danilo Ardagna, Germán Moltó, Miguel Caballer

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Performance Models for Distributed Deep Learning Training Jobs on Ray.

Federica Filippini, Boris Lublinsky, Maximilien de Bayser, Danilo Ardagna

Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 2023

2021

ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS.

Federica Filippini, Danilo Ardagna, Marco Lattuada, Edoardo Amaldi, Maciek Riedl, Katarzyna Materka, Pawel Skrzypek, Michele Ciavotta, Fabrizio Magugliani, Marco Cicala

Proceedings of the 8th International Conference on Future Internet of Things and Cloud, 2021

A Random Greedy based Design Time Tool for AI Applications Component Placement and Resource Selection in Computing Continua.

Hamta Sedghani, Federica Filippini, Danilo Ardagna

Proceedings of the IEEE International Conference on Edge Computing, 2021

2020

Hierarchical Scheduling in on-demand GPU-as-a-Service Systems.

Federica Filippini, Marco Lattuada, Arezoo Jahani, Michele Ciavotta, Danilo Ardagna, Edoardo Amaldi

Proceedings of the 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2020