Articoli & papers Archives

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

BioClimate: A Science Gateway for Climate Change and Biodiversity research in the EUBrazilCloudConnect project

Fiore S., Elia D., Blanquer I., Brasileiro F. V. Nuzzo A., Nassisi P., Rufino I. A.A., Seijmonsbergen A. C., Anders N. S., Galvão C. de O. , Cunha J. E. de B.L., Caballer M., Sousa-Baena M. S., Canhos V. P., Aloisio G.
2019, Future Generation Computer Systems, Volume 94, pp. 895-909, doi: 10.1016/j.future.2017.11.034

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