HPC-TRES | A national network to support young researchers using supercomputing to address Earth system modelling challenges. In 2015, OGS and Cineca entered into an agreement to implement a training programme in the field of High Performance Computing (HPC) for applications in Earth Sciences, called "HPC Training and Research for Earth Sciences" (HPC-TRES). The programme is co-funded by the Ministry of Universities and Research (MUR) through PRACE-Italy, the special contribution for Italy's participation in the activities related to the international PRACE infrastructure. The main objectives of the programme are capacity building, the enhancement of human capital, and advanced training in the fields of Digital Twin Earth, Earth System modelling (atmosphere, hydrosphere, lithosphere and biosphere) and numerical methods, the latter being considered a strategic transversal component for modelling. These objectives will be pursued through the use of national and European PRACE HPC infrastructures and services, the optimisation of algorithms and calculation codes, the management of large amounts of data ("Big Data") and graphic visualisation techniques for multidisciplinary applications in the Earth Sciences, also in the context of the "Blue Growth" strategy and, more generally, of the National Recovery and Resilience Plan. HPC-TRES envisages the establishment, funding and management of training and research awards (grants for expenditure on training and research activities established in accordance with the regulations in force governing scholarships, research grants, and PhDs) designed to contribute to the thematic research lines of the scientific plan of the HPC-TRES programme. In 2021, OGS, CINECA, CNR, INGV, CMCC, POLITO-DIATI, and ICTP signed the constitution of the Joint Research Unit HPC-TRES (JRU HPC-TRES), to further support the action of the HPC-TRES program. The 5th edition of the HPC-TRES workshop (related to year 2022) was held on 24 January 2023 at the DoveVivo Campus (Trieste). More information: https://www.ogs.it/en/high-performance-computing-laboratory-hpc-tres

Editors: M. Zanenghi, O. Halilaj, S. Salon