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HiDALGO2 team expands our understanding of how modern hardware and software innovations can optimise large-scale environmental simulations and AI-driven workflows. D3.6 deliverable: Innovative HPC Technologies and Benchmarking, currently under review by the EC, builds on our previous evaluations, as described in our previous reports D3.4 and D3.5  and focuses on state-of-the-art architectures from the world’s leading […]

Sediment and material transport are fundamental drivers of river ecosystem health, coastal stability, and the structural integrity of hydraulic infrastructure. Yet, simulating these movements with high precision, especially when factoring in rapid environmental changes, has historically been a monumental computational challenge. As part of the HiDALGO2 project, the Material Transport in Water (MTW) pilot is

Last Wednesday marked the successful conclusion of our intensive 2-day In-Person Project Plenary Meeting! A big thank you to Zoltán Horvárth and the Széchenyi István University (SZE) for being such incredible hosts and bringing the consortium together in Győr, Hungary. Over the two days (June 30 – July 1), led by our coordinator Marcin Lawenda,

The Repro-HPC Workshop concluded on Friday 26th, 2026, and the HiDALGO2 project was there co-organising and presenting our last paper. The participants shared insights and presented cutting-edge research on one of the industry’s most pressing challenges: the reproducibility crisis. Representing the University of Strasbourg (Unistra), Javier Cladellas presented our newly published paper: “Layered Reproducibility for

As high-performance computing (HPC) scales up to the exascale era, the demand for massive computing power has never been higher. For projects like HiDALGO2, which relies on extreme-scale simulations to address critical global challenges—such as urban air quality, wildfire propagation, and renewable energy optimisation—computational performance is non-negotiable. However, as our systems grow more powerful, managing their

As the European Union pushes toward its ambitious climate targets, the transition from fossil fuels to renewable energy sources (RES) has moved from a distant goal to a daily reality. In 2023, renewables accounted for 46.9% of the EU’s electricity production, already surpassing the 2030 target of 42.5%. However, this shift introduces a significant technical

As climate change intensifies, the nature of wildfires is undergoing a fundamental shift. They are no longer merely landscape events but have become complex atmospheric phenomena—often described as the “atmosphere in combustion.” Addressing these high-energy, destructive events requires more than traditional observation; it demands the immense processing power of High-Performance Computing (HPC) and the precision

How can we effectively renovate millions of buildings to meet climate goals? How can cities assess urban regeneration and climate-adaptation policies, improve indoor air quality and summer comfort, and prepare for heatwaves and other extreme events? At the HiDALGO2 clustering event, Christophe Prud’homme, Professor at the University of Strasbourg and leader of the Urban Buildings

Urban environments face a silent challenge: the air we breathe and the invisible winds that shape our daily comfort. From the “canyon effect” of narrow streets trapping pollutants to the sudden danger of an accidental toxic gas release, understanding urban airflow is a necessity for public safety and sustainable city planning. As part of the

This article was authored in Polish by Małgorzata Szołucha, and published on April 28, 2026 on NCBR In a world where climate change, severe weather events, and energy transformation are becoming civilizational challenges, science capable of understanding and predicting them is increasingly important. Supercomputers, artificial intelligence, and advanced numerical simulations are coming to the rescue.

HiDALGO2 advances how High-Performance Computing (HPC) can solve major global and environmental challenges. As true progress in this domain relies on collaboration, the consortium has been working together with CASTIEL 2 and contributing on the HPC in Europe Portal, showcasing how European Centres of Excellence (CoEs) unite to manage natural and man-made hazards. Following the

In a collaborative effort between HiDALGO2, SLB-analys, and ENCCS, researchers have developed a scalable HPC solution to simulate wind patterns across the entire city of Stockholm at unprecedented resolution. The Challenge Wind in urban environments significantly impacts inhabitant comfort and safety. Tall buildings can create “wind tunnels” where speeds far exceed averages, potentially putting pedestrians

The HiPEAC 2026 Conference in Kraków, Poland (January 26–28), brought together Europe’s leading experts in computer architecture and high-performance computing. Beyond the technical sessions, a major highlight for the project was the exploration of how Centres of Excellence (CoEs) deliver tangible value to the European research landscape and industry. The CoE Workshop: Rethinking Scientific Applications

OverviewIn modern cities, tackling complex environmental and energy issues through experiments can be impractical due to cost, risk, or scale. Extreme-scale computing now enables the creation of highly accurate predictive models and allows for the analysis of vast datasets, thanks to advancements in AI. Integrating predictive modelling with machine learning opens new opportunities in science,

The building sector is one of the largest consumers of energy and contributors to greenhouse gas emissions in the European Union (EU), representing 35% of energy-related EU emissions in 2021. In response, the EU has set ambitious targets, aiming to become the world’s first climate-neutral continent by 2050.  This objective is at the heart of

In a previous blog, we discussed the performance of different programming models—SYCL, OpenMP, CUDA, and HIP—when applied to Computational Fluid Dynamics (CFD). In this article we will delve deeper into these three languages, comparing their pros and cons, installation requirements, and performance using a simple vector addition example. GPU programming CUDA has been the go-to

Computational Fluid Dynamics (CFD) simulations are critical for understanding and predicting complex fluid dynamics phenomena that are often difficult or impossible to capture by experimental methods alone. An example of the active use of CFD simulation to aid in the understanding of a complex flow scenario is demonstrated in this project, which marks the first

Hardware acceleration, especially through Graphics Processing Units (GPUs), is vital for enhancing computational speed and efficiency. GPUs are designed for parallel processing, enabling them to handle multiple data sets simultaneously. This makes them highly efficient at rendering graphics, image processing, and machine learning tasks. In contrast, CPUs process operations sequentially, making GPUs faster at computations.

What does HiDALGO2 stand for?                                                                                   HiDALGO2 stands for HPC and Big Data Technologies for Global Challenges. This means that the project integrates the technologies of High Performance Computing, High Performance Data Analytics, and Artificial Intelligence to provide solutions and innovations for major environmental issues.  What is the vision of HiDALGO2? The vision of the project

HiDALGO2 brings together teams and institutions across different countries and time zones, all working together to improve the scalability of several applications from the domain of Global Challenges on Europe’s HPC systems. Here, the concept of DevOps provides the cultural push, and the methodology of continuous integration and deployment (CI/CD) provides the unified framework needed

Technologies used in more detail    HiDALGO2 is building, from an AI point of view, on state-of-the-art algorithms and frameworks such as PyTorch, TensorFlow, or Theano to implement the intelligent workflow composition mechanism. From the HPDA perspective, well-adopted tools and their integration ability are being investigated to enable in-situ analysis of produced data. Specifically, the data

Europe experienced recently intense heat waves resulting in record temperatures, as a follow-up of the worrying increase of the average temperature of the planet. Wildfires along the Mediterranean countries have shown extreme behaviour over the past summer weeks, particularly in Greece, Spain, Portugal, Croatia, Italy, Algeria Tunisia, and Turkey. These devastating phenomena resulted in dozens

In the HiDALGO2 project, we need to address the pressing question of how well our models and simulations perform by openly discussing the assumptions, approximations, and limitations that impact the credibility of our simulations. For that purpose, we apply an uncertainty quantification (UQ) framework, specifically focusing on its application to environmental challenges that require computational-fluid

QCG Constantly growing numbers on the Top500 list of the World’s largest supercomputers can look appealing to computational scientists and engineers. Multi Peta- or even Exa-scale resources that are already available for users is something that 15-years ago was only a dream. Thus many application developers and users who were blocked by the computer power,

Cemosis The Centre de Modélisation et de Simulation de Strabourg, Cemosis, is the University of Strasbourg’s mathematics platform for collaborations with companies and research laboratories. It is attached to the IRMA UMR 7501 laboratory, where it has been housed since its creation in 2013. Cemosis is financed by collaborative research contracts and services to industry.

What is the HiDALGO2 project? HiDALGO2 project brings together 10 interdisciplinary partners from 8 countries in order to achieve best results. The scope of the work of HiDALGO2 is to some extent a continuation of the tasks carried out in the HiDALGO project. In the core of the current project are the same people, which