Transferring climate change physical knowledge
2025, Proceedings Of The National Academy Of Sciences, doi: 10.1073/pnas.2413503122
Filtering by author: Elia Donatello
A Graph Data Model-based Micro-Provenance Approach for Multi-level Provenance Exploration in End-to-End Climate Workflows
Fiore S., Rampazzo M., Elia D., Sacco L., Antonio F., Nassisi P.
2023, IEEE, IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023, pp. 3332-3339, doi: 10.1109/BigData59044.2023.10386983
End-to-End Workflows for Climate Science: Integrating HPC Simulations, Big Data Processing, and Machine Learning
Elia D., Scardigno S., Ejarque J., D'Anca A., Accarino G., Scoccimarro E., Donno D., Peano D., Immorlano F., Aloisio G.
2023, Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W '23), Association for Computing Machinery, New York, NY, USA, 2042–2052, doi: 10.1145/3624062.3624283
An ensemble machine learning approach for tropical cyclone localization and tracking from ERA5 reanalysis data
Accarino G., Donno D., Immorlano F., Elia D., Aloisio G.
2023, Earth and Space Science, Volume 10, Issue 11, doi: 10.1029/2023EA003106
PyOphidia: A Python library for High Performance Data Analytics at scale
Elia D., Palazzo C., Fiore S., D'Anca A., Mariello A., Aloisio G.
2023, SoftwareX, Volume 24, 2023, 101538, ISSN 2352-7110, doi: 10.1016/j.softx.2023.101538
A Data Space for Climate Science in the European Open Science Cloud
Elia D., Antonio F., Fiore S., Nassisi P., Aloisio G.
2023, Computing in Science & Engineering, vol. 25, no. 1, pp. 7-15, Jan.-Feb. 2023, doi: 10.1109/MCSE.2023.3274047
Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergence
Ejarque J., Badia R.M., Albertin L., Aloisio G., Baglione E., Becerra Y., Boschert S., Berlin J. R., D'Anca A., Elia D., Exertier F., Fiore S., Flich J., Folch A., Gibbons S. J., Koldunov N., Lordan F., Lorito S., Løvholt F., Macias J., Marozzo F., Michelini A., Monterrubio-Velasco M., Pienkowska M., de la Puente J., Queralt A., Quintana-Orti E. S., Rodrıguez J. E., Romano F., Rossi R., Rybicki J., Kupczyk M., Selva J., Talia D., Tonini R., Trunfio P., Volpe M.
2022, Future Generation Computer Systems, Volume 134, pages 414-429, ISSN 0167-739X, doi: 10.1016/j.future.2022.04.014
Towards HPC and Big Data Analytics Convergence: Design and Experimental Evaluation of a HPDA Framework for eScience at Scale
Elia D., Fiore S., Aloisio G.
2021, IEEE Access, vol. 9, pp. 73307-73326, doi: 10.1109/ACCESS.2021.3079139
Towards High Performance Data Analytics for Climate Change
Fiore S., Elia D., Palazzo C., Antonio F., D'Anca A., Foster I. , Aloisio G.
2019, Weiland M., Juckeland G., Alam S., Jagode H. (eds) High Performance Computing. ISC High Performance 2019, Lecture Notes in Computer Science, vol 11887. Springer, Cham, doi: 10.1007/978-3-030-34356-9_20
BIGSEA: A Big Data analytics platform for public transportation information
Alic A. S., Almeida J. M., Aloisio G., Andraded N., Antunes N., Ardagna D., Badia R. M., Basso T., Blanquer I., Braz T., Brito A. Elia D., Fiore S., Guedes D. O., Lattuada M., Lezzi D., Maciel M., Meira W., Mestre D., Moraes R., Morais F., Pires C. E., Kozievitch N. P., Dos Santos W., Silva P., Vieira M.
2019, Future Generation Computer Systems, doi: 10.1016/j.future.2019.02.011