Descripción del proyecto
Métodos altamente escalables para resolver los mayores retos
Los efectos del cambio climático y los cambios sociales están a nuestro alrededor, desde fenómenos meteorológicos violentos como las inundaciones hasta el aire contaminado de las aglomeraciones urbanas. Estos problemas se abordan mediante métodos interdisciplinarios e infraestructuras informáticas de alto rendimiento. El equipo del proyecto HiDALGO2, financiado con fondos europeos, explora las sinergias entre modelización, adquisición de datos, simulación, análisis de datos y visualización. También utilizará eficazmente las infraestructuras actuales y futuras de informática de alto rendimiento e inteligencia artificial para desarrollar soluciones altamente escalables. En concreto, el equipo se centra en las mejores soluciones adaptando el programa informático a la infraestructura (codiseño) y evaluando la calidad de las soluciones mediante análisis de incertidumbre. Con HiDALGO2 se contribuirá activamente a las comunidades de usuarios de la Unión Europea abordando las lagunas de las capacidades y compartiendo conocimientos en el marco de flujos de trabajo especializados organizados y formación.
Objetivo
Climate change has long since been an undeniable phenomenon observed up close at many places on Earth. Climate change influences our everyday life, and thus has also an increasing impact on our quality of life. One of the key reasons is the dynamic development of societies which for decades significantly impacts the natural environment. This can be dramatically experienced nowadays by violent weather phenomena (e.g. storms, rainfalls). These problems are addressed by Global Challenges (GC). GC requires interdisciplinary expertise, and demands for solutions at scale due to their inherent complexity. Thus, HiDALGO2 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 five use cases from the environmental area: improving air quality in urban agglomerations, energy efficiency of buildings, renewable energy sources, wildfires and meteo-hydrological forecasting. The common feature of the modelling of the above simulations is the use of numerical analysis of fluid flows by Computational Fluid Dynamics (CFD) method, which is typically very compute-intensive. HiDALGO2 puts high emphasis on issues related to the scalability of solutions, the best adaptation of the software to the infrastructure (co-design) by using the appropriate benchmarking methodology and algorithmic optimization methods. This enables the efficient use of top-notch HPC systems to simulate complex structures with much greater accuracy not achievable for calculations using Cloud solutions. The quality of our solutions is assessed by uncertainty analysis carried out in ensemble runs mode. HiDALGO2 actively contributes to user communities from the EU by addressing the skills gap and sharing knowledge under organised specialised workflows and training.
Ámbito científico
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologyenvironmental engineeringair pollution engineering
- natural sciencesphysical sciencesclassical mechanicsfluid mechanicsfluid dynamicscomputational fluid dynamics
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
- natural sciencesmathematicsapplied mathematicsnumerical analysis
Palabras clave
Programa(s)
- HORIZON.2.4 - Digital, Industry and Space Main Programme
Convocatoria de propuestas
HORIZON-EUROHPC-JU-2021-COE-01
Consulte otros proyectos de esta convocatoriaRégimen de financiación
HORIZON-JU-RIA - HORIZON JU Research and Innovation ActionsCoordinador
61 704 Poznan
Polonia