The 2026 annual meeting of Exa-DI

The 2026 annual meeting of the Exa-DI project (Development and Integration) of the PEPR NumPEx took place on February 24 and 25th at Espace Trinité, Paris.

This face-to-face meeting brought together for one day the complete Exa-DI team – the members of each Work Package (WPs), the Program manager of the CDT, the CDT members, the leaders of the co-design/co-development Working groups (WGs) who are member of the Application Demonstrators (ADs) teams, members of others NumPEx projects of the (Exa-MA, Exa-SofT, Exa-DoST and Exa-AToW), as well as representatives from the national (IDRIS, TGCC, CINES) and regional (GriCAD,) computing centres and experts.

This meeting was first an opportunity to create the momentum between all the stakeholders involved in the co-design/co-development processes and second tostrengthen their alignment. This is one of the main objectives of the Backlog sessions in which each co-design/co-development working groups (WGs) presented their roadmap for the next 2-3 month in order to establish, coordinate and organize the engineering activities of the CDT development team. Given the importance and cross-cutting nature of the topic across NumPEx, a presentation on «Task-based programming and its applications » was given by a leading expert from the Exa-SofT project. The Software packaging and deployment session organized with the participation of a regional (GriCAD) and all national computing centres (TGCC, IDRIS and CINES) provides the opportunity to discuss about packaging solutions (e.g., modules, Spack, Guix) with the aim of supporting code developers to port and deploy applications on various architectures, and in particular on leading exascale architectures. The CDT session provide an overview of the current engineering activities of the development CDT team given through four presentations, i.e Infrastructure for Benchmarking, Guix-Based Deployment and unified Kokkos Integration, High-Performance Spectral Element Operators on GPUs and Benchmarking Large Scale Inverse Problems Resolution Algorithms with Benchopt, which was followed by general discussions. Finally, in light of the recent workshop organized by GENCI following Alice Recoque’s procurement February 17-19, 2026), where collaborations between NumPEx, Bull and AMD were discussed, a specific session on possible Exa-DI/AMD/Bull collaborations was organized to, on the one hand, give feedback on the Bull/AMD workshop and, on the other hand, discuss the actions to be implemented to identify and start collaborations with AMD and Bull.

One of main goal of this meeting has been to brainstorm all together on collaboration patterns supporting the ramp-up of the Exa-DI project and their implementation through the co-design/co-development structures set-up in Exa-DI: the CDT, the co-design/co-development WGs, the WPs, etc. A key point was to follow and check that the articulation and coordination of these different structures were carried out correctly and allowed to ensure the co-design/co-development process’s success. This is essential in order to prepare the porting of applications to exascale architectures and in particular to the next European leading exascale facility to be installed at the TGCC, Alice Recoque and open to users by the end of 2027.

This annual meeting of the project is crucial to monitor that the project was being conducted properly and to ensure the proper coordination of engineering and packaging activities within the CDT in collaboration with all the stakeholders, a key point of the co-design and co-development process.

Highlights on the different components of the co-design/co-development process such as the roadmap of the co-design/co-development WGs, the engineering activities of the CDT development team, the software packaging and deployment activities of the CDT enabling team allowed to demonstrate the paramount importance of all these different activities to implement and achieve the co-design and co-development process as well as of the collaborations in the day-to-day reseach & engineering activities. The discussions with the national and regional computing centers clarified the various current and future solutions for software packaging and deployment in the regional and national computing centers and highlighted what will need to be implemented in view of the heterogeneity of future architectures. Moreover, all participants in this session agreed to meet again in the future to keep each other informed of developments and to discuss them together. Overall, the discussions were very fruitful and showed there is a strong motivation and interest in reinforcing collaborations between all the stakeholders involved in the co-design/co-development processes, and avoiding as much as possible silos & work in isolation.

Tuesday, 24 February 2026

Wednesday, 25 February 2026

Attendees

  • Juliette Antonczack, Exa-MA, Université de Strasbourg
  • Alexis Badel, Inria
  • Rémi Baron, Exa-DI, CEA
  • Baptiste Besnard, CNRS
  • Julien Bigot, Exa-DI, Inria
  • Jérôme Bobin, Exa-DI, CEA
  • Pierre-Antoine Bouttier, CNRS
  • Thomas Bouvier, Exa-DI, CEA
  • Eric Boyer, Genci
  • Valérie Brenner, Exa-DI, CEA
  • Henri Calandra, AD, TotalEnergies
  • Ansar Calloo, Exa-MA, CEA
  • Mathieu Certenais, Exa-AToW, Université Rennes
  • Aurélien Citrain, Inria
  • Jérôme Charousset, Exa-DI, CEA
  • Javier Cladellas, Exa-MA, Université Strasbourg

  • Ludovic Courtes, Exa-DI, Inria
  • Aurélien Dauteuil, Exa-DI, CEA
  • Xavier Delaruelle, CEA
  • Romain Denelle, EDF
  • Maxime Delorme, AD, CEA
  • Etienne Decossin, EDF
  • Triem Phan Dinh, Exa-DI, CNRS
  • Romain Garbage, Exa-DI, Inria
  • Damien Gradatour, Exa-DoST, CNRS
  • Virginie Grangirard, Exa-DoST, CEA
  • Loïc Guoarin, Exa-MA, École Polytechnique
  • Gabriel Hautreux, Université de Montpellier
  • Skander Khiari, Exa-DI, CEA
  • Chai Koren, EDF
  • Félix Kpadonou, Exa-DI, CEA
  • Rémi Lacroix, CNRS

  • Pierre-François Lavallée, CNRS
  • Guillaume Lechantre, Genci
  • Benoît Malézieux, Exa-DI, CNRS
  • Benoît Martin, Exa-DI, CEA
  • Marc Antoine Miville-Deschênes, CNRS
  • Thomas Moreau, GT IA, CEA
  • Laurent Nguyen, CEA
  • Augustin Parret-Freaud, Safran Tech
  • Bruno Raffin, Exa-DI, Inria
  • Alexandre Roger, Exa-DI, CNRS
  • Pascal Tremblin, CEA
  • Samuel Thibaut, Exa-SofT, Inria
  • Jean-Pierre Vilotte, Exa-DI, CNRS
  • Julien Vanharen, AD, Inria

© PEPR NumPEx


Trans Numériques 2026

The PEPR NumPEx was proud to participate in the first edition of Trans Numériques! Thirteen PEPRs gathered from 2 to 5 February at the Couvent des Jacobins in Rennes to share scientific advances and challenges relating to performance, security, frugality and the societal impact of the digital continuum.

This event was an opportunity for NumPEx to come together to reflect on the programme’s next milestones, particularly on three major themes: IA and HPC convergence, software ecosystem and digital continuum. At the same time, this event provided an opportunity to exchange ideas with other PEPRs and share inter-PEPR projects with the digital community.

Finally, we are really proud of Méline Trochon and Théo Jolivel, NumPEx PhD students, who represented NumPEx in the ANR video and shared their fresh perspective on the event!

NumPEx program

Tuesday, 3 February 2026

  • Introduction to the NumPEx only sessions
  • IA and HPC convergence
  • Software ecosystem
  • Digital continuum

Wednesday, 4 February 2026

  • IA and HPC convergence – workshop
  • Software ecosystem – workshop
  • Digital continuum – workshop

Thursday, 5 February 2026

  • Workshop restitution

Full program

© Thomas Crabot

The ANR movie of the event


The 2026 annual meeting of Exa-MA

The 2026 Exa-MA Annual Assembly held at Arts et Métiers ParisTech (Aix-en-Provence) from 19 to 21 January, 2026, highlighted the project’s central role in France’s NumPEx initiative. It focused on preparing the software stack for the “Alice Recoque” exascale supercomputer.

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 3rd Exa-MA General Assembly highlighted the project’s central role in France’s NumPEx initiative, preparing the software stack for the “Alice Recoque” exascale supercomputer. Key discussions focused on 2026 priorities: GPU portability, AI-driven HPC convergence, and real-time neural operators, with applications in fusion energy, climate modeling, and aeronautics. The assembly emphasized delivering sovereign, open, and reproducible solutions, while addressing challenges like AI reliability in HPC and GPU acceleration. By expanding training and demonstrators, Exa-MA is reinforcing its “French model” of collaborative innovation, bridging AI and HPC for measurable scientific and societal impact.

Attendees

  • Emmanuel Agullo, Inria
  • Pierre Alliez, Inria
  • Amaury Bélières Frendo, Unistra
  • Ani Anciaux Sedrakian, IFPEN
  • Brieuc Antoine dit Urban, Inria
  • Juliette Antonczak, Unistra
  • Mark Asch, Université de Picardie
  • Hassan Ballout, Unistra
  • Helene Barucq, Inria
  • Jerome Bobin, CEA
  • Jed Brown, University of Colorado
  • Filippo Brunelli, Inria
  • Ansar Calloo, CEA
  • Xinye Chen, Sorbonne Université
  • Javier Cladellas, Unistra
  • Susanne Claus, ONERA
  • Ariel De Vora, CEA
  • Mohamed Doumbouya, Inria
  • Pierre Dubois, CEA
  • Mahmoud El khadiri, Inria
  • Erik Fabrizzi, Sorbonne Université
  • Vincent Faucher, CEA
  • Emmanuel Franck, Inria

  • Josselin Garnier, Ecole Polytechnique
  • Clément Gauchy, CEA
  • Christophe Geuzaine, Université de Liège
  • Laetitia Giraldi, Inria
  • Loic Gouarin, Ecole Polytechnique
  • Arthur Gouinguenet, Inria
  • Virginie Grandgirard, CEA
  • Julien Herrmann, Inria
  • Alexandre Hoffmann, Ecole Polytechnique
  • Remy Hosseinkhan, Ecole Polytechnique
  • Daria Hrebenshchykova, Inria
  • Bertrand Iooss, EDF
  • Vincent Italiano, Unistra
  • Utpal Kiran, CEA
  • Félix Kpadonou, CEA
  • Philipp Krah, CEA
  • Stéphane Lanteri, Inria
  • Romain Le Tellier, CEA
  • Benoît Malézieux, CEA
  • Gilles Marait, Inria
  • Jean-Baptiste Mascary, ANR
  • Lois McInnes, Argonne National Laboratory

  • Victor Michel-Dansac, Inria
  • Mahamat Hamdan Nassouradine, CEA
  • Frédéric Nataf, Sorbonne Université
  • Laurent Navoret, Unistra
  • Lars Nerger, Alfred Wegener Institute
  • Augustin Parret-Fréaud, Safran
  • Lucas Pernollet, CEA
  • Raphaël Prat, CEA
  • Christophe Prud’homme, Unistra
  • Isabelle Ramière, CEA
  • Yves Robert, ENS
  • Mael Rouxel-Labbe, Geometry Factory
  • Gianluigi Rozza, SISSA
  • Eric Savin, ONERA
  • Lukas Spies, Inria
  • Alexandre Tabouret, Sorbonne Université
  • El-ghazali Talbi, Université de Lille
  • Tom Caruso, Inria
  • Sébastien Tordeux, Inria
  • Arthur Vidard, Inria
  • Jean-Pierre Vilotte, CNRS

© PEPR NumPEx


C4P, a research network for the field of computing

Read the original version here (French)

Alfredo Buttari and Théo Mary, both NumPEx members, now lead the research network Computing: Paradigms, Parallelism, Performance, Precision (Groupement de recherche C4P).

The field of computing in computer science is undergoing rapid and disruptive changes, both at the conceptual and technological levels and in terms of the application needs of the academic and private sectors. In this context, the creation of the Research Group (GDR) Computing: Paradigms, Parallelism, Performance, Precision (C4P, pronounced [kap]) is motivated by the need to unite, structure and animate the French scientific research community in the field of computing in the broadest sense.

Computing, a field undergoing rapid transformation

The largest supercomputers have now reached exaflop scale (a speed of 1018 floating point operations per second). However, their extremely complex architecture is characterised by a very high level of parallelism and a high degree of heterogeneity in terms of computing units, memory and communication channels. Similarly, energy consumption has become a major concern, as the power consumption of these large computing infrastructures can reach several tens of megawatts.

Furthermore, while numerical simulation applications were the main use of computing centres for several decades, artificial intelligence, and more specifically machine learning, has recently come to occupy an increasing share of computing infrastructure resources. This discipline has experienced a veritable explosion in recent years, thanks in particular to the availability of computing resources that enable the training of very large models that now include billions of parameters.

Significant challenges:

In this context, marked by rapid technological changes that sometimes break with past approaches, scientific research in the field of computing is evolving. It faces significant challenges at several levels, from hardware and software to data management and numerical methods and algorithms. This can be summarised by the four ‘Ps’ in french:

  • Paradigms: Design and develop emerging paradigms, such as quantum, neuromorphic, molecular, or in-memory computing, to overcome the limitations of von Neumann architecture and the end of Moore’s Law through more efficient, parallel, and frugal computing models.
  • Parallelism: designing and developing algorithms, programming models and computing software capable of scaling up on modern computing infrastructures equipped with numerous heterogeneous computing units, memories and communication channels.
  • Performance and energy: measuring, analysing and improving the performance of algorithms and computational software in terms of time, memory and energy consumption, taking into account the complexity and diversity of infrastructures and applications.
  • Accuracy and robustness: measuring, controlling and guaranteeing the accuracy and robustness of algorithms and computational software in the face of errors, in a context where the use of low-precision arithmetic is increasingly widespread and failures are increasingly likely.

Read the original version on CNRS Informatics

© CNRS Sciences informatiques


The 2025 Exa-DoST general assembly

The 2025 Exa-DoST Annual Assembly took place from 5 to 7 November, 2025, bringing together 65 researchers and engineers from academia and industry to discuss the latest progress, prepare the milestones of the work packages, and welcome the latest recruits.

Exa-DoST (Data-oriented Software and Tools for the Exascale) is one of the five projects of the NumPEx program. Exa-DoST is addressing the major data challenges by proposing operational solutions co-designed and validated in French and European applications. This will allow filling the gap left by previous international projects to ensure that French and European needs are taken into account in the roadmaps for building the data-oriented Exascale software stack.

The Exa-DoST annual assembly took place from 5 to 7 November 2025 at Inria Bordeaux Sud-Ouest in Talence. These three days allowed participants to meet and exchange ideas through working sessions, in order to define the work plans for the next 12 months for each of the Exa-DoST work packages. The objective: to produce each workpackage softwares that meets the needs of the applications. There were major discussions on modularity, with a view to pooling everyone’s efforts in terms of software production in order to share resources and create synergies.

Finally, Exa-DoST was proud to welcome its new recruits, who rose brilliantly to the challenge of presenting scientific highlights in plenary sessions and via poster sessions!

Wednesday, 5 November 2025

  • An introduction or refresher to NumPEx and Exa-DoST
    by Gabriel Antoniu, Inria research scientist and Exa-DoST co-leader
    and Julien Bigot, CEA research scientist and Exa-DoST co-leader
  • A few introductory words for everyone
    by Gabriel Antoniu and Julien Bigot
  • First results and 2 scientific focuses for the workpackages:
    • WP1 – I/O and data storage
      by Francieli Boito, Inria research scientist and Exa-DoST WP leader
      and François Tessier, Inria research scientist and Exa-DoST WP leader
    • WP2 – In situ data processing
      by Yushan Wang, CEA research scientist and Exa-DoST WP leader
      and Laurent Colombet, CEA research scientist and Exa-DoST WP leader
    • WP3 – ML-based data analytics
      by Thomas Moreau, Inria research scientist and Exa-DoST WP leader
      and Bruno Raffin, Inria research scientist and Exa-DoST WP leader
    • WP4:
      by Virginie Grandgirard, CEA research scientist and Exa-DoST WP leader
      and Damien Gratadour, Université Paris Cité professor and Exa-DoST WP leader

Thursday, 6 November 2025

Friday , 7 November 2025

 

Attendees

  • Mahamat Abdraman, Inria
  • Jean-Thomas Acquaviva, DDN
  • Gabriel Antoniu, Inria
  • Julian AURIAC, CEA
  • Rosa Maria Badia, BSC
  • Alexis Bandet, Inria
  • Iheb Becher, CNRS
  • Mansour Benbakoura, Inria
  • Andres Bermeo Marinelli, Inria
  • Julien Bigot, CEA
  • Jérôme Bobin, CEA
  • François Bodin, Irisa
  • Francieli Boito, Université de Bordeaux
  • Robin Boezennec, Inria
  • Etienne Bonnassieux, Université de Bordeaux
  • Eric Boyer, Genci
  • Valérie Brenner, CEA
  • Silvina Caino-Lores, Inria
  • Franck Cappello, Argonne National Laboratory, Online
  • Pierre Cesar, Inria
  • Jérôme Charousset, CEA
  • Mathieu Cloirec, CINES

  • Arnaud Collioud, Université de Bordeaux
  • Laurent Colombet, CEA
  • Marwane Dalal, Laboratoire d’Astrophysique de Bordeaux
  • Ariel De Vora, CEA
  • Xavier Delaruelle, CEA
  • Arnaud Durocher, CEA
  • Sofya Dymchenko, Inria
  • Hugo Gaquere, Observatoire de Paris
  • Virginie Grandgirard, CEA
  • Damien Gratadour, Université Paris Cité
  • Amina Guermouche, Inria
  • Gabriel Hautreux, CINES, Online
  • Hadrien Hendrikx, Inria
  • Arthur Jaquard, Inria
  • Théo Jolivel, Inria
  • Sylvain Joube, CEA
  • Ivan LUCAS, CEA
  • Jakob Luettgau, Inria
  • Martial Mancip, CEA
  • Benoit Martin, CEA
  • François Mazen, Kitware
  • Yann Meurdesoif, CEA
  • Shan Mignot, CNRS

  • Thomas Moreau, Inria
  • Jacques Morice, CEA
  • Étienne Ndamlabin, Inria
  • Guillaume Pallez, Inria
  • Lucas Pernollet, CEA
  • Abhishek Purandare, Inria
  • Bruno Raffin, Inria
  • Olivier Richard, Université Grenoble Alpes
  • Kento Sato, Riken
  • Hugo Strappazzon, Inria
  • Frédéric Suter, Oak Ridge National Laboratory, Online
  • François Tessier, Inria
  • Samuel Thibault, Université de Bordeaux
  • Luan Teylo, Inria
  • Alix Tremodeux, ENS Lyon
  • Méline Trochon, Inria
  • Hippolyte Verninas, Inria
  • Sunrise Wang, CNRS
  • Yushan Wang, CEA
  • Jad Yehya, Inria

©Martial Mancip / PEPR NumPEx


Exa-DI: the first mini-application resulting from co-development is now available!

Find all the information about Exa-DI here.

Following the Exa-DI general meetings, working groups were formed to produce applications on four major themes. The first mini application on high-precision discretisation is now available.

Following the Exa-DI workshops, four working groups (WGs) were formed, bringing together all the players involved in co-design and co-development: Exa-DI’s Computational and Data Science (CDT) team, members of the various targeted NumPEx projects, and application demonstration teams. These groups focus on efficient discretisation, unstructured meshes, block-structured AMR, and AI applied to linear inverse problems at exascale, and are now actively moving forward.

Thanks to these WGs, the first shared mini-applications, representative of the technical challenges of exascale applications, are currently being developed. They integrate high value-added software components (libraries, frameworks, tools) provided by other NumPEx teams. In this context, the first mini-application on high-precision discretisation is now available, with others to follow soon.

A documentation hub, set up in early 2025, is gradually centralising tutorials and technical documents of general interest for NumPEx Exa-DI. It includes: the NumPEx software catalogue, webinars and training courses, documentation on co-design and CDT packaging, and much more.

Feel free to consult it to stay up to date on the tools and resources available.

Figure: Overview of Impact-HPC.
© PEPR NumPEx

 


Exa-DI: Facilitating the deployment of HPC applications with Package Managers

You can find all the tutorial mentionned in this news here. Find all the information about Exa-DI here.

Exa-DI is proud to present its series of training courses for users of package managers, designed to optimise their user experience.

Deploying and porting applications on supercomputers remains a complex and time-consuming task. NumPEx encourages users to leverage package managers, allowing for precise and direct control of their software stack, with a particular focus on Guix and Spack.

A series of training courses and support events has been organised to assist users:

• Tutorial: Introduction to Guix – October 2025
• Tutorial @ Compass25: Guix-deploy – June 2025
• Coding session: Publishing packages on Guix-Science – May 2025
• Tutorial: Spack for beginners (online) – April 2025
• Tutorial: Using Guix and Spack for deploying applications on supercomputers – February 2025

Switching to new deployment methods takes time. NumPEx supports users by offering training, support, software packaging, tool improvements, and partnerships with computing centres to optimise the user experience.

For more information: https://numpex-pc5.gitlabpages.inria.fr/tutorials/webinar/index.html

Photo credit: Mohammad Rahmani / Unsplash


Exa-DI: the co-design and co-development in NumPEx is moving forward

Find all the information about Exa-DI here.

The implementation of the co-design and co-development process within NumPEx is one of Exa-DI’s objectives for the production of augmented and productive software. To this end, Exa-DI has organised three working groups open to all NumPEx members.

The Exa-DI project is responsible for implementing the co-design and co-development process within NumPEx, with the aim of producing augmented and productive exascale software that is science-driven. In this context, Exa-DI has already organised three workshops: one on “Efficient discretisation for exascale EDPs”, another on “Block-structured AMR at exascale” and a third on “Artificial intelligence for exascale HPC”. These two-day in-person workshops brought together Exa-DI members, members of other NumPEx projects, teams demonstrating applications from various sectors of research and industry, and experts.

Discussions focused on:

    1. Challenges related to the co-design and co-development process
    2. Key issues
    3. The most pressing issues for collective development and strengthening links between NumPEx and applications
    4. Initiatives promoting the sustainability of exascale software and performance portability.

A very interesting and stimulating result was the establishment of working groups focused on a set of shared and well-specified mini-applications representing the cross-cutting computational and communication patterns identified. Several application teams have expressed interest in participating in these groups. To date, four working groups are actively engaged in the co-design and co-development of mini-applications, with a view to integrating and evaluating the logical sets of software components developed in the NumPEx projects.


Strategy for the interoperability of digital scientific infrastructures

Find all the information about Exa-AtoW here.

The evolution of data volumes and computing capabilities is reshaping the scientific digital landscape. To fully leverage this potential, NumPEx and its partners are developing an open interoperability strategy connecting major instruments, data centers, and computing infrastructures.

Driven by data produced by large instruments (telescopes, satellites, etc.) and artificial intelligence, the digital scientific landscape is undergoing a profound transformation, fuelled by rapid advances in computing, storage and communication capabilities. The scientific potential of this inherently multidisciplinary revolution lies in the implementation of hybrid computing and processing chains, increasingly integrating HPC infrastructures, data centres and large instruments.

Anticipating the arrival of the Alice Recoque exascale machine, NumPEx’s partners and collaborators (SKA-France, MesoCloud, PEPR NumPEx, Data Terra, Climeri, TGCC, Idris, Genci) have decided to coordinate their efforts to propose interoperability solutions that will enable the deployment of processing chains that fully exploit all research infrastructures.

The aim of the work is to define an open strategy for implementing interoperability solutions, in conjunction with large scientific instruments, in order to facilitate data analysis and enhance the reproducibility of results.

Figure: Overview of Impact-HPC.
© PEPR NumPEx

 


Impacts-HPC: a Python library for measuring and understanding the environmental footprint of scientific computing

Find all the information about Exa-AToW here.

The environmental footprint of scientific computing goes far beyond electricity consumption. Impacts-HPC introduces a comprehensive framework to assess the full life-cycle impacts of HPC, from equipment manufacturing to energy use, through key environmental indicators.

The environmental footprint of scientific computing is often reduced to electricity consumption during execution. However, this only reflects part of the problem. Impacts-HPC aims to go beyond this limited view by also incorporating the impact of equipment manufacturing and broadening the spectrum of indicators considered.

This tool also makes it possible to trace the stages of a computing workflow and document the sources used, thereby enhancing transparency and reproducibility. In a context where the environmental crisis is forcing us to consider climate, resources and other planetary boundaries simultaneously, such tools are becoming indispensable.

The Impacts-HPC library covers several stages of the life cycle: equipment manufacturing and use. It provides users with three essential indicators:

• Primary energy (MJ): more relevant than electricity alone, as it includes conversion losses throughout the energy chain.
• Climate impact (gCO₂eq): calculated by aggregating and converting different greenhouse gases into CO₂ equivalents.
• Resource depletion (g Sb eq): reflecting the use of non-renewable resources, in particular metallic and non-metallic minerals.

This is the first time that such a tool has been offered for direct use by scientific computing communities, with an integrated and documented approach.

This library paves the way for a more detailed assessment of the environmental impacts associated with scientific computing. The next steps include integrating it into digital twin environments, adding real-time data (energy mix, storage, transfers), and testing it on a benchmark HPC centre (IDRIS).

Figure: Overview of Impact-HPC.
© PEPR NumPEx

 


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