RELEASE DATE: DECEMBER 2023 | 1st Press Release of the HiDALGO2 Project
EU research addresses climate and social phenomena with High Performance Computing
Climate change affects our everyday lives and, as a result, increasingly affects our life quality. One of the key reasons is the dynamic development of societies, which has had a significant impact on the natural environment for decades. This can be dramatically experienced nowadays through violent weather phenomena (e.g. storms, rainfall, fires) or the air quality in cities. The way we propose to deal with its impact is through an interdisciplinary approach and expertise which will enable better understanding and preparation of remedial strategies.
HiDALGO2 is a European research and innovation project that addresses the challenges of the global phenomenon of climate change. It aims to explore synergies between modelling, data acquisition, simulation, data analysis, andvisualization along with achieving better scalability on current and future HPC and AI infrastructures to deliver highly scalable solutions that can effectively utilize pre-exascale systems. Practically, the project will focus on four pillars (use cases) from the environmental area: improving air quality in urban agglomerations, energy efficiency of buildings, renewable energy sources and wildfires.
HiDALGO2 is a research project that integrates the technologies of HPC, High-Performance Data Analytics (HPDA), and AI to provide solutions and innovations to address Global Challenges. The vision of the project is to extend the possibilities of the world’s leading scientific applications in the field of environmental protection. This will be implemented through the collaboration of environmental scientists, HPC experts, data and AI analysts, and user communities that will develop solutions that effectively tackle scientific and social challenges.
The mission of HiDALGO2 is to bring together advanced solutions to provide stakeholders and decision-makers tools that would mitigate the tragic consequences of climate change and urbanization. The proposed solutions must be effective enough to cover with satisfactory accuracy the research in relevant areas.
Such complex problems require, on the one hand, significant computational resources provided by EuroHPC JU and, on the other hand, expert knowledge enabling effective use of resources delivered by the pan-European consortium.
The consortium of the HiDALGO2 project brings an interdisciplinary consortium of 8 partners from 7 countries to achieve the best results. HiDALGO2 started on January 1st, 2023, and is planned to end on December 31st, 2026. During its four-year duration, it is expected to contribute to research activities and HPC applications significantly. The scope of the work of HiDALGO2 is, to some extent, a continuation of the tasks carried out in the HiDALGO project. Keeping the same core team guarantees continuity of work, especially in the area of scalability, co-design, and ensemble scenarios.
On January 17, 2024, during the HiPEAC conference, the Hidalgo2 project partners, in cooperation with ESiWACE3, will organize workshops presenting selected applications and methods used to implement simulation scenarios in the Global Challenges area. Moreover, in the following months, the project will organise a hackathon on uncertainty quantification, presenting techniques and tools as a practical way to assess the sensitivity of parameters to the operation of selected simulation applications.
Considering the above, over the following months project news, publications, and outputs will be available on the official project webpage at www.hidalgo2.eu and distributed via the project’s social media channels on Linkedin, X (Twitter), Facebook, and YouTube. We encourage you to subscribe to the newsletter and follow us on social media to stay up to date with the latest news.
Co-funded by the European Union. This work has received funding from the European High Performance Computing Joint Undertaking (JU) and Poland, Germany, Spain, Hungary and France under grant agreement number: 101093457.
Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European High-Performance Computing Joint Undertaking (JU) and Poland, Germany, Spain, Hungary, and France. Neither the European Union nor the granting authority can be held responsible for them.