HPC and Big Data Technologies for Global Systems
(c) HiDALGO
HiDALGO2 continues the mission of its pre-runner project HiDALGO and aims to explore synergies between modelling, data acquisition, simulation, data analysis and visualisation along with achieving better scalability on current and future HPC and AI infrastructures to deliver highly-scalable solutions that can effectively utilise pre-exascale systems. The project focuses on four use cases from the environmental area: improving air quality in urban agglomerations, energy efficiency of buildings, renewable energy sources and wildfires.
HiDALGO2 explores synergies between modelling, data acquisition, simulation, data analysis and visualisation. It will also efficiently utilise current and future HPC and AI infrastructures to develop highly scalable solutions to global climate and social challenges (e.g. violent weather, floods, pollution). HIDALGO2 aims at bringing together advanced solutions (HPC-AI-HPDA) to provide decision makers and stakeholders tools that would mitigate tragic consequences of climate and civilization phenomena, by delivering necessary knowledge.
Runtime: 01/2023 - 12/2026
