FILIPPINI, FEDERICA

FILIPPINI, FEDERICA  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Titolo Data di pubblicazione Autori File
A Random Greedy based Design Time Tool for AI Applications Component Placement and Resource Selection in Computing Continua 1-gen-2021 H. SedghaniF. FilippiniD. Ardagna
A Randomized Greedy Method for AI Applications Component Placement and Resource Selection in Computing Continua 1-gen-2021 H. SedghaniF. FilippiniD. Ardagna
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS 1-gen-2021 Federica FilippiniDanilo ArdagnaMarco LattuadaEdoardo Amaldi +
FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum In corso di stampa Federica FilippiniRiccardo CavadiniDanilo Ardagna +
Hierarchical Scheduling in on-demand GPU-as-a-Service Systems 1-gen-2020 Federica FilippiniMarco LattuadaDanilo ArdagnaEdoardo Amaldi +
OSCAR-P and aMLLibrary: Performance Profiling and Prediction of Computing Continua Applications 1-gen-2023 Enrico GalimbertiBruno GuindaniFederica FilippiniHamta SedghaniDanilo ArdagnaGermán Moltó +
Performance Models for Distributed Deep Learning Training Jobs on Ray In corso di stampa Federica FilippiniDanilo Ardagna +
Runtime Management of Artificial Intelligence Applications for Smart Eyewears 1-gen-2023 A. W. KambaleH. SedghaniF. FilippiniG. VerticaleD. Ardagna
Scheduling Deep Learning Jobs Training in the Cloud: Comparing Multiple Approaches 1-gen-2022 Michele PrecuzziFederica FilippiniDanilo Ardagna
SPACE4AI-R: a Runtime Management Tool for AI Applications Component Placement and Resource Scaling in Computing Continua 1-gen-2023 F. FilippiniH. SedghaniD. Ardagna