. - The Gran Sasso National Laboratory (LNGS) hosts an advanced HPC infrastructure that supports the mission of the HPC4DR Consortium to mitigate risks from natural and anthropogenic disasters. This infrastructure, derived from the CINECA GALILEO cluster, leverages advanced computational power to model complex phenomena and improve disaster resilience. The HPC4DR Consortium, established in alignment with the Sendai Framework, focuses on assessing risks, improving preparedness, and supporting recovery efforts through HPC-driven simulations and data analysis. Key applications include simulating earthquakes, detecting seismic precursors via satellite, monitoring solar activity, modeling extreme weather events, and evaluating structural stability. Within the ICSC National Center, the HaMMon project employs AI and cloud technologies to assess post-disaster damage, forecast risk, and map critical infrastructure. LNGS, with its experienced personnel, robust facilities and integration into national and European networks, is poised to become a digital hub for disaster resilience research and applications. This initiative underscores the transformative role of HPC in addressing climate change and disaster-related challenges while fostering a multidisciplinary scientific community committed to resilience and sustainability.

The HPC Infrastructure of the Gran Sasso National Laboratory (INFN) for resilience to natural and anthropogenic disasters

D'Angelo, G;Marchegiani, F;Parlati, S;Pera, D;Piersanti, M;Ricchi, A;
2025-01-01

Abstract

. - The Gran Sasso National Laboratory (LNGS) hosts an advanced HPC infrastructure that supports the mission of the HPC4DR Consortium to mitigate risks from natural and anthropogenic disasters. This infrastructure, derived from the CINECA GALILEO cluster, leverages advanced computational power to model complex phenomena and improve disaster resilience. The HPC4DR Consortium, established in alignment with the Sendai Framework, focuses on assessing risks, improving preparedness, and supporting recovery efforts through HPC-driven simulations and data analysis. Key applications include simulating earthquakes, detecting seismic precursors via satellite, monitoring solar activity, modeling extreme weather events, and evaluating structural stability. Within the ICSC National Center, the HaMMon project employs AI and cloud technologies to assess post-disaster damage, forecast risk, and map critical infrastructure. LNGS, with its experienced personnel, robust facilities and integration into national and European networks, is poised to become a digital hub for disaster resilience research and applications. This initiative underscores the transformative role of HPC in addressing climate change and disaster-related challenges while fostering a multidisciplinary scientific community committed to resilience and sustainability.
File in questo prodotto:
File Dimensione Formato  
ncc13438.pdf

accesso aperto

Tipologia: Documento in Versione Editoriale
Licenza: Creative commons
Dimensione 180.03 kB
Formato Adobe PDF
180.03 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/270279
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 0
social impact