The HaMMon project is the outcome of an industrial partnership that includes many Italian research institutions and private companies. It is led by UnipolSai and Leitha, and funded by the ICSC, the Italian National Research Center for High Performance Computing, Big Data and Quantum Computing.The ambition of HaMMon is to build a flexible and scalable platform to analyze the hydrogeological and atmospheric balance of the Italian territory. The project aims to expand the current knowledge in hazard mapping, monitoring, and forecasting from an industrial perspective by leveraging innovative technologies and the interdisciplinary activities carried out by the ICSC.In this work, we present the cloud-HPC infrastructure deployed in the High-Performance Computing for Artificial Intelligence (HPC4AI) green data center of the University of Turin which supports the testing and development of HaMMon’s applications and services. We describe the current activities and preliminary results related to the integration of Photogrammetry techniques, Data Visualization and Artificial Intelligence technologies, applied on aerial images, to assess extreme natural events and evaluate their impact on risk-exposed assets.

The Cloud-HPC infrastructure for Hazard Mapping and vulnerability Monitoring (HaMMon)

Eva Sciacca;Iacopo Colonnelli;Doriana Medić
2025-01-01

Abstract

The HaMMon project is the outcome of an industrial partnership that includes many Italian research institutions and private companies. It is led by UnipolSai and Leitha, and funded by the ICSC, the Italian National Research Center for High Performance Computing, Big Data and Quantum Computing.The ambition of HaMMon is to build a flexible and scalable platform to analyze the hydrogeological and atmospheric balance of the Italian territory. The project aims to expand the current knowledge in hazard mapping, monitoring, and forecasting from an industrial perspective by leveraging innovative technologies and the interdisciplinary activities carried out by the ICSC.In this work, we present the cloud-HPC infrastructure deployed in the High-Performance Computing for Artificial Intelligence (HPC4AI) green data center of the University of Turin which supports the testing and development of HaMMon’s applications and services. We describe the current activities and preliminary results related to the integration of Photogrammetry techniques, Data Visualization and Artificial Intelligence technologies, applied on aerial images, to assess extreme natural events and evaluate their impact on risk-exposed assets.
2025
Euromicro International Conference on Parallel, Distributed, and Network-Based Processing
Torino, Italy
12-14 March 2025
33rd Euromicro International Conference on Parallel, Distributed, and Network- Based Processing PDP 2025
IEEE
309
316
979-8-3315-2493-7
979-8-3315-2494-4
Cloud, HPC, Kubernetes, ASfM, Artificial Intelligence, Post-Event Analysis, Hazard Management, Drone, Photogrammetry
Mauro Imbrosciano; Eva Sciacca; Fabio Vitello; Leonardo Pelonero; Francesco Franchina; Ugo Becciani; Iacopo Colonnelli; Doriana Medić
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2071020
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