News

From Git repository to mass run: Exa-MA industrialises the deployment of NumPEx-compliant HPC applications

Find all the information about Exa-MA here.

By unifying workflows and automating key stages of the HPC software lifecycle, the Exa-MA framework contributes to more reliable, portable and efficient application deployment on national and EuroHPC systems.

HPC applications require reproducibility, portability and large-scale testing, but the transition from code to computer remains lengthy and heterogeneous depending on the site. The objective is to unify the Exa-MA application framework and automate builds, tests and deployments in accordance with NumPEx guidelines.

An Exa-MA application framework has been set up, integrating the management of templates, metadata and verification and validation (V&V) procedures. At the same time, a complete HPC CI/CD chain has been deployed, combining Spack, Apptainer/Singularity and automated submission via ReFrame/SLURM orchestrated by GitHub Actions. This infrastructure operates seamlessly on French national computers and EuroHPC platforms, with end-to-end automation of critical steps.

In the first use cases, the time between code validation and large-scale execution has been reduced from several days to less than 24 hours, without any manual intervention on site. Performance is now monitored by non-regression tests (high/low scalability) and will soon be enhanced by profiling artefacts.

The approach deployed is revolutionising the integration of Exa-MA applications, accelerating onboarding and ensuring controlled quality through automated testing and complete traceability.

The next phase of the project involves putting Exa-MA applications online and deploying a performance dashboard.

Figure: Benchmarking website page with views by application, by machine, and by use case.
© PEPR NumPEx

 

by Estelle Hutschka

From urban data to watertight multi-layer meshes, ready for city-scale energy simulation

This highlight is based form the work of Christophe Prud'homme, Vincent Chabannes, Javier Cladellas, Pierre Alliez,

This research was carried by the Exa-MA project, in collaboration with CoE HiDALGO2, and projets Ktirio & CGAL. Find all the information about Exa-MA here.

How can we model an entire city to better understand its energy, airflow, and heat dynamics? Urban data are abundant — buildings, roads, terrain, vegetation — but often inconsistent or incomplete. A new GIS–meshing pipeline now makes it possible to automatically generate watertight, simulation-ready city models, enabling realistic energy and microclimate simulations at the urban scale.

Urban energy/wind/heat modeling requires closed and consistent geometries, while the available data (buildings, roads, terrain, hydrography, vegetation) are heterogeneous and often non-watertight. The objective is therefore to reconstruct watertight urban meshes at LoD-0/1, interoperable and enriched with physical attributes and models.

A GIS–meshing pipeline has been developed to automate the generation of closed urban models. It integrates data ingestion via Mapbox, robust geometric operations using Ktirio-Geom (based on CGAL), as well as multi-layer booleans ensuring the topological closure of the scenes. Urban areas covering several square kilometers are thus converted into consistent solid LoD-1/2 models (buildings, roads, terrain, rivers, vegetation). The model preparation time is reduced from several weeks to a few minutes, with a significant gain in numerical stability.

The outputs are interoperable with the Urban Building Model (Ktirio-UBM) and compatible with energy and CFD solvers.

This development enables rapid access to realistic urban cases, usable for energy and microclimatic simulations, while promoting the sharing of datasets within the Hidalgo² Centre of Excellence ecosystem.
The next step is to publish reference datasets — watertight models and associated scripts — on the CKAN platform (n.hidalgo2.eu). These works open the way to coupling between CFD and energy simulation, and to the creation of tools dedicated to the study and reduction of urban heat islands.

Figures: Reconstruction of the city of Grenoble within a 5 km radius, including the road network, rivers and bodies of water. Vegetation has not been included in order to reduce the size of the mesh, which here consists of approximately 6 million triangles — a figure that would at least double if vegetation were included.
© PEPR NumPEx

by Estelle Hutschka

The 2025 annual meeting of Exa-Soft

The 2025 Exa-SofT Annual Assembly took place from 19 to 21 October, 2025, bringing together more than 60 researchers and engineers from academia and industry to discuss progress on scientific computing software, share results from work packages, and welcome the latest recruits.

Exa-SofT (HPC software and tools) is one of the five projects of the NumPEx program. It is concerned with research issues around the development of efficient, portable and scalable software for exaflop-scale supercomputers which are, by nature, of a very large size, and heterogeneous. As such, Exa-SofT deals with the development and use of parallel programming models for accelerators such as GPUs, compile and runtime optimizations, the development of low-level libraries for linear and multilinear algebra, and performance and energy analysis and optimization.

The Exa-SofT annual assembly took place from 19th to 21st October 2025 at the Sophie Germain facilities in Palaiseau. Over three days, participants presented scientific achievements, exchanged on mini-applications for Exascale computing, and organized dedicated sessions to consolidate software developments and foster collaboration. The assembly highlighted the active involvement of young researchers and the continued efforts to integrate Exa-SofT developments across the NumPEx ecosystem.

Thursday, 19 October 2025

Friday, 20 October 2025

Saturday, 21 October 2025

  • Breakout sessions feedback

  • Focus on 3 scientific results by recruits
    by Catherine Guelque (WP5)
    Jules Risse (WP5 & WP6)
    Albert d’Aviau (WP6)

  • Final word: next milestones, deliverables
    by Raymond Namyst, professor at University of Bordeaux
    and Alfredo Buttari, CNRS research scientist

Attendees

  • Emmanuel Agullo, Inria
  • Erwan Auer, Inria
  • Ugo Battiston, Inria
  • Marc Baboulin, Université Paris-Saclay
  • Vicenç Beltran Querol, BSC
  • Jean-Yves Berthou, Inria
  • Julien Bigot, CEA
  • Jérôme Bobin, CEA
  • Valérie Brenner, CEA
  • Elisabeth Brunet, Telecom SudParis
  • Alfredo Buttari, CNRS
  • Henri Calandra, Total Energies
  • Jérôme Charousset, CEA
  • Philippe Clauss, Inria
  • Raphaël Colin, Inria
  • Albert d’Aviau de Piolant, Inria
  • Georges Da Costa, Université de Toulouse
  • Marco Danelutto, Université de Pise
  • Stéphane de Chaisemartin, IFPEN
  • Alexandre Denis, Inria
  • Nicolas Ducarton, Inria

 

  • Arnaud Durocher, CEA
  • Assia Mighis, CNRS
  • Bernd Mohr, Jülich
  • Thomas Morin, Inria
  • Jules Evans, CNRS
  • Clémence Fontaine, ANR
  • Nathalie Furmento, CNRS
  • David Goudin, Eviden
  • Catherine Guelque, Telecom SudParis
  • Abdou Guermouche, Université de Bordeaux
  • Amina Guermouche, Inria
  • Julien Herrmann, CNRS
  • Valentin Honoré, ENSIIE
  • Karmijn Hoogveld, CNRS
  • Félix Kpadonou, CEA
  • Jerry Lacmou Zeutouo, Université de Picardie
  • Sherry Li, Lawrence Berkeley National Laboratory
  • Pérache Marc, CEA
  • Théo Mary, CNRS
  • Samuel Mendoza, Inria

 

 

 

  • Julienne Moukalou, Inria
  • Raymond Namyst, Université de Bordeaux
  • Brieuc Nicolas, Inria
  • Alix Peigue, INSA
  • Christian Perez, Inria
  • Lucas Pernollet, CEA
  • Jean-Marc Pierson, IRIT
  • Pierre-Etienne Polet, Inria
  • Marie Reinbigler, Inria
  • Vincent Reverdy, CNRS
  • Jules Risse, Inria
  • Matthieu Robeyns, IRIT
  • Alexandre Roget, CEA
  • Philippe Swartvaghe R, Inria
  • Boris Teabe, ENSEEIHT
  • Samuel Thibault, Université de Bordeaux
  • François Trahay, Telecom SudParis
  • Julien Vanharen, Inria
  • Jean-Pierre Vilotte, CNRS
  • Pierre Wacrenier, Inria

© PEPR NumPEx

by Estelle Hutschka

Data logistics for radio astronomy

Read the full text here

Mathis Certenais, PhD student at IRISA and NumPEx member, conducts his research within the ECLAT laboratory, where he develops innovative data logistics solutions for radio astronomy in the exascale era. By working closely with astrophysicists, computer scientists, and industrial partners, he designs collaborative workflows capable of meeting tomorrow’s scientific challenges, while also contributing within YoungPEx to reflections on interdisciplinarity, energy efficiency, and responsible research.

“Within YoungPEx, we are working in particular on topics such as energy footprints, how to conduct research in an environmentally responsible manner, and multidisciplinarity in the context of scientific research.”

Read the full interview here

Photo credit ECLAT Laboratory

by Estelle Hutschka

How well do we really understand the temporal I/O behavior of HPC applications — and why does it matter?

Read the extended version of this paper “A Deep Look Into the Temporal I/O Behavior of HPC Applications” here

Exa-DoST is proud to share its new publication at IPDPS 2025: A Deep Look Into the Temporal I/O Behavior of HPC Applications.

In collaboration between Inria (France), TU Darmstadt (Germany), and LNCC (Brazil), Francieli Boito, Luan Teylo, Mihail Popov, Theo Jolivel, François Tessier, Jakob Luettgau, Julien Monniot, Ahmad Tarraf, André Carneiro, and Carla Osthoff present a large-scale study of temporal I/O behavior in high-performance computing (HPC), based on more than 440,000 traces collected over 11 years from four large HPC systems.

Understanding temporal I/O behavior is critical to improving the performance of HPC applications, particularly as the gap between compute and I/O speeds continues to widen. Many existing techniques—such as burst buffer allocation, I/O scheduling, and batch job coordination—depend on assumptions about this behavior. This work examines fundamental questions about the temporality, periodicity, and concurrency of I/O behavior in real-world workloads. By analyzing traces from both system and application perspectives, we provide a detailed characterization of how HPC applications interact with the I/O subsystem over time.
Key contributions include:

  • A classification of recurring temporal I/O patterns across diverse workloads.
  • Insights into I/O concurrency and shared resource usage.
  • Public release of the used large datasets to support further research.

Our findings offer a solid empirical foundation for future developments in behavior-aware monitoring, I/O scheduling, and performance modeling.

Read the full version on HAL.

Photo credit Francieli Boito

by Estelle Hutschka

2025 InPEx workshop

Find all the presentation on InPEx website here

From April 14th to 17th, 2025, the InPEx global network of experts (Europe, Japan and USA) gathered in Kanagawa, Japan. Hosted by RIKEN-CSS and Japanese universities with the support of NumPEx, the InPEx 2025 workshop was dedicated to the challenges of the post-Exascale era.

Find all NumPEx contributions below:

If you want to know more, all presentations are available on InPEx website.

Photo credit: Corentin Lefevre/Neovia Innovation/Inria

by Estelle Hutschka

NumPEx holds its first General Assembly

Bringing together 130 researchers, engineers, and partners at Inria Saclay, the 2025 NumPEx General Assembly was a key step for the future of NumPEx.

Over two days, participants engaged in discussions, workshops, and guest talks to explore the challenges of integrating Exascale computing into a broader digital continuum. The first day was marked by the live announcement that France had been selected to host one of the European AI Factories.

This General Assembly was also the perfect occasion to introduce YoungPEx to the entire PEPR community through a presentation and one of its first workshop. YoungPEx is a new initiative aimed at fostering collaboration among young researchers, including PhD students, post-docs, engineers, and volunteer permanent researchers. It will serve as a dynamic platform for networking, knowledge exchange, and interdisciplinary collaboration across the HPC and AI communities.

We were also pleased to welcome the TRACCS and Cloud research programs, which presented both ongoing and potential collaborations with NumPEx.

With this first General Assembly, NumPEx strengthens its community and continues its paths to Exascale and beyond.

© PEPR NumPEx

by Estelle Hutschka

The 2025 annual meeting of Exa-MA

The General Assembly of the Exa-MA project took place at the University of Strasbourg on January 14-15, 2025. This two-day event was an opportunity to share the latest advancements of the project, strengthen collaborations between Work Packages (WPs), and discuss the next steps.

Exa-MA aims to revolutionize methods and algorithms for exascale scaling: discretization, resolution, learning and order reduction, inverse problem, optimization and uncertainties. We are contributing to the software stack of future European computers.
The General Assembly gathered 83 participants, including members of the Scientific Board, external partners, and young recruits, with 15 joining online. The event featured plenary sessions, thematic workshops, and strategic discussions focused on intra- and inter-project synergies, particularly with Exa-Soft and Exa-DI. Key topics included AI, accelerators, software sustainability, and external collaborations. Strengthening ties with academic and industrial partners was also a major focus, reinforcing Exa-MA’s role in the broader exascale computing ecosystem.

Tuesday, 14 January 2025

Wenesday, 15 January 2025

  • General workshop on interactions with external partners
    by Hélène Barucq and Christophe Prud’homme
  • Workshop on WP1 and WP3 : discretization and solvers
    by Isabelle Ramière, CEA research scientist
    Pierre Alliez, Inria research scientist,
    Hélène Barucq and Vincent Faucher, CEA research scientist
  • Workshop on WP2 and WP5 : optimization and AI
    by El Ghazali Talbi, professor at Université de Lille
    Stéphane Lanteri, Inria research scientist
    and Emmanuel Franck
  • Workshop on WP4 and WP6 : uncertainty quantification + inverse problems & data assimilation
    Josselin Garnier, professor at École polytechnique
    Clément Gauchy, CEA research staff member
    Arthur Vidard, Inria research scientist
    Hélène Barucq and Florian Faucher, Inria research scientist
  • Feedback on workshop 1
    by Isabelle Ramière, Vincent Faucher and Pierre Alliez
  • Feedback on workshop 2
    by El Ghazali Talbi
  • Feedback on workshop 3
    by Josselin Garnier and Arthur Vidard
  • Conclusion
    by Christophe Prud’homme
  • Informal exchanges

Attendees

  • Pierre Alliez, Inria
  • Ani Anciaux Sedrakian, IFPEN (Online)
  • Mark Asch, Université de Picardie
  • Hassan Ballout, Université de Strasbourg
  • Helene Barucq, Inria
  • Amaury Bélières–Frendo, Université de Strasbourg
  • Anne Benoit, ENS
  • Jerome Bobin, CEA
  • Matthieu Boileau, Université de Strasbourg
  • Jérôme Bonelle, EDF
  • Jed Brown, University of Colorado (Online)
  • Ansar Calloo, CEA
  • Vincent Chabannes, Université de Strasbourg
  • Xinye Chen, Sorbonne Université (Online)
  • Aurelien Citrain, Inria
  • Javier Andrés Cladellas Herodier, Université de Strasbourg
  • Susanne Claus, ONERA
  • Raphaël Côte, Université de Strasbourg
  • Clémentine Courtès, Université de Strasbourg
  • Grégoire Danoy, Université de Luxembourg
  • Etienne Decossin, EDF
  • Romain Denefle, EDF
  • Pierre Dubois, CEA
  • Sébastien Dubois, École Polytechnique
  • Talbi El-ghazali, Université de Lille
  • Vincent Faucher, CEA
  • Florian Faucher, Inria
  • Emmanuel Franck, Inria
  • Josselin Garnier, École Polytechnique
  • Clément Gauchy, CEA
  • Christos Georgiadis, Inria

  • Christophe Geuzaine, Université de Liège (Online)
  • Mathieu Goron, CEA (Online)
  • Loic Gouarin, École Polytechnique
  • Denis Gueyffier, ONERA (Online)
  • Philippe Helluy, Université de Strasbourg
  • Hélène Hénon, Inria
  • Jan Hesthaven, Karlsruhe Institute of Technology (Online)
  • Alexandre Hoffmann, École Polytechnique
  • Daria Hrebenshchykova, Inria
  • Bertrand Iooss, EDF
  • Fabienne Jézéquel, Université Paris-Panthéon-Assas (Online)
  • Pierre Jolivet, CNRS (Online)
  • Baptiste Kerleguer, CEA
  • Mickael Krajecki, Université de Reims
  • Catherine Lambert, CERFACS
  • Pierre Ledac, CEA
  • Patrick Lemoine, Université de Strasbourg
  • Sebastien Loriot, Geometry Factory
  • Giraud Luc, Inria
  • Nassouradine Mahamat Hamdan, CEA
  • Bahia Maoili, ANR (Online)
  • Marc Massot, École Polytechnique
  • Pierre Matalon, École Polytechnique
  • Loïs McInnes, Argonne National Laboratory (Online)
  • Katherine Mer-Nkonga, CEA (Online)
  • Victor Michel-Dansac, Inria
  • Axel Modave, ENSTA (Online)
  • Vincent Mouysset, ONERA
  • Frédéric Nataf, Sorbonne Université
  • Laurent Navoret, Université de Strasbourg
  • Lars Nerger, Alfred Wegener Institute
  • Augustin Parret-Fréaud, Safran
  • Lucas Pernollet, CEA
  • Raphaël Prat, CEA

  • Clémentine Prieur, Université de Grenoble (Online)
  • Christophe Prud’homme, Université de Strasbourg
  • Alexandre Pugin, Inria
  • Isabelle Ramiere, CEA
  • Thomas Saigre, Université de Strasbourg
  • Eric Savin, ONERA
  • Antoine Simon, École Polytechnique
  • Bruno Sudret, ETH Zürich
  • Nicolas Tardieu, EDF
  • Isabelle Terrasse, Airbus
  • Sébastien Tordeux, Inria
  • Pierre-Henri Tournier, Sorbonne Université
  • Christophe Trophime, CNRS
  • Hung Truong, Université de Strasbourg
  • Céline Van Landeghem, Université de Strasbourg
  • Arthur Vidard, Inria
  • Jean-Pierre Vilotte, CNRS
  • Raphael Zanella, Sorbonne Université (Online)

© PEPR NumPEx

by Estelle Hutschka

numpex Super computer futuristic

NumPEx newsletter n°2 - 2025 with NumPEx!

Redirection vers la newsletter... Si rien ne se passe, cliquez ici.

by Estelle Hutschka

The 2024 annual meeting of Exa-Soft

The second Exa-SofT annual assembly, held on November 7th-8th, 2024 at ENSEEIHT in Toulouse, brought together over 50 participants from academia and industry to share progress on scientific computing applications, strengthen collaborations, and introduce the new members of Exa-SofT.

Exa-SofT (HPC software and tools) is one of the five projects of the NumPEx program. It is concerned with research issues around the development of efficient, portable and scalable software for exaflop-scale supercomputers which are, by nature, of a very large size, and heterogeneous. As such, Exa-SofT deals with the development and use of parallel programming models for accelerators such as GPUs, compile and runtime optimizations, the development of low-level libraries for linear and multilinear algebra, and performance and energy analysis and optimization.

The second Exa-SofT annual assembly took place on 7th and 8th November 2024 in the facilities of the ENSEEIHT school of Toulouse. It gathered 50+ participants from all over France. Experts in scientific computing applications from the industrial and academic world also attended the meeting in a joint effort to foster collaborations. During the two days of the event, eight scientific talks were given by members of Exa-SofT to present the latest results and progress achieved in the different work-packages. Two plenary sessions were also organized to discuss about the consolidation and interoperability of the software packages developed in Exa-SofT on the one hand, and about interactions with application experts around the development of mini-apps on the other hand. One highlight of this meeting was the large participation of young Exa-SofT members (PhD students and post-docs), who had the opportunity to introduce themselves – as well their research – to the audience.

Thursday, 07 November 2024

Friday, 8 November 2024

Attendees

  • Ugo Battinston, Inria
  • Julien Bigot, CEA
  • Alfredo Buttari, CNRS
  • Philippe Clauss, Inria
  • Henri Calandra, Total Energies
  • Terry Cojean, Eviden
  • Raphaël Colin, Inria
  • Benoit Combemale, Inria
  • Jean-Marie Couteyen, Airbus
  • Albert d’Aviau de Piolant, Inria
  • Georges Da Costa, Université de Toulouse
  • Alexandre Denis, Inria
  • Nicolas Ducarton, Inria
  • Pierre Esterie, Inria
  • Ewen Brune, Inria
  • Mathieu Faverge, Inria
  • Thierry Gautier, Inria
  • David Goudin, Eviden

  • Karmijn Hoogveld, Université de Toulouse
  • Catherine Guelque, Telecom SudParis
  • Amina Guermouche, Bordeaux INP
  • Abdou Guermouche, Université de Bordeaux
  • Julien Hermann, CNRS
  • Jerry Lacmou Zeutouo, Université de Picardie
  • Marc Pérache, CEA
  • Raymond Namyst, Université de Bordeaux
  • Nicolas Brieuc, Inria
  • Alena Kopanicakova, Toulouse INP
  • Christian Perez, Inria
  • Luc Giraud, Inria
  • Alejandro Estana, Université de Toulouse
  • Lucas Pernollet, CEA
  • Millian Poquet, Université de Toulouse
  • Jules Risse, Telecom SudParis
  • Julien Vanharen, Inria

  • Alec Sadler, Inria
  • Nicolas Renon, Université de Toulouse
  • Philippe Swartvagher, Inria
  • Samuel Thibault, Université de Bordeaux
  • François Trahay, Telecom SudParis
  • Pierre Matalon, École polytechnique
  • Atte Torri, Université Paris-Saclay
  • Bora Ucar, ENS
  • Pierre-André Wacrenier, Université de Bordeaux
  • Damien Gratadour, Université Paris Cité
  • Petr Vacek, IFPEN
  • Matthieu Robeyns, Université Paris-Saclay
  • Nathalie Furmento, CNRS

© PEPR NumPEx

by Estelle Hutschka

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