Highlighted publications

Boosting HPC data analysis performance with the ParSoDA-Py library

Belcastro, L., Giampà, S., Marozzo, F,Rosa M. Badia, Jorge Ejarque & Nihad Mammadli,Loris Belcastro, Salvatore Giampà, Fabrizio Marozzo, Domenico Talia & Paolo Trunfio

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A comparison of data-driven reduced order models for the simulation of mesoscale atmospheric flow

Arash Hajisharifi, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza,

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Generative adversarial reduced order modelling

Coscia, D., Demo, N. & Rozza, G.

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List of publications

Authors

Block size estimation for data partitioning in HPC applications using machine learning techniques

Article in journal

2024

Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio, Rosa M. Badia, Jorge Ejarque & Fernando Vázquez-Novoa

An Ensemble Machine Learning Approach for Tropical Cyclone Localization and Tracking From ERA5 Reanalysis Data

Article in journal

2023

G. Accarino , D. Donno, F. Immorlano, D. Elia, & G. Aloisio.

Geometrically Parametrised Reduced Order Models for Studying the Hysteresis of the Coanda Effect in Finite-elements-based Incompressible Fluid Dynamics

Article in journal

2023

Bravo, J. & Stabile, Giovanni & Hess, M. & Hernández, Joaquin & Rossi, R. & Rozza, Gianluigi.

Empirical Interscale Finite Element Method (EIFEM) for modeling heterogeneous structures via localized hyperreduction

Article in journal

2023

Hernandez, J.A.; Giuliodori, A.; Soudah, E.

CECM: A continuous empirical cubature method with application to the dimensional hyperreduction of parameterized finite element models

Article in journal

2023

J.A. Hernández, J.R. Bravo, S. Ares de Parga

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Publications

Highlighted publications

Boosting HPC data analysis performance with the ParSoDA-Py library

A comparison of data-driven reduced order models for the simulation of mesoscale atmospheric flow

Generative adversarial reduced order modelling

List of publications

Block size estimation for data partitioning in HPC applications using machine learning techniques

An Ensemble Machine Learning Approach for Tropical Cyclone Localization and Tracking From ERA5 Reanalysis Data

Geometrically Parametrised Reduced Order Models for Studying the Hysteresis of the Coanda Effect in Finite-elements-based Incompressible Fluid Dynamics

Empirical Interscale Finite Element Method (EIFEM) for modeling heterogeneous structures via localized hyperreduction

CECM: A continuous empirical cubature method with application to the dimensional hyperreduction of parameterized finite element models