Description du projet
Des flux de travail exaflopiques pour les futurs systèmes exaflopiques
L’émergence d’ordinateurs puissants et d’algorithmes numériques avancés a permis une simulation plus réaliste de systèmes complexes grâce à l’utilisation de technologies d’intelligence artificielle. La dynamique des fluides computationnelle (CFD pour «computational fluid dynamics») est l’un des domaines qui requièrent des supercalculateurs exaflopiques. Elle est cruciale dans les flux de travail des ingénieurs et des universitaires. Le projet CEEC, financé par l’UE, adoptera des flux de travail exaflopiques afin de relever les défis des futurs systèmes exaflopiques, y compris ceux fournis par EuroHPC. Le projet utilisera des architectures matérielles accélérées et des calculs adaptatifs innovants en précision mixte pour réaliser des gains substantiels en termes d’efficacité énergétique et mettre en évidence des algorithmes nouveaux et améliorés pour la prochaine génération d’architectures exaflopiques. CEEC développera cinq exemples phares couvrant des sujets physiques et techniques d’intérêt, qui couvrent l’ensemble du spectre des applications de la CFD.
Objectif
For many centuries, scientific discovery relied on performing experiments and the subsequent deduction of new theoretical models. The advent of powerful computers, coupled with new and ever more efficient numerical algorithms, makes it possible to simulate complex systems with increasing realism, and to automatize even model discovery using artificial intelligence (AI) technologies. Computational Fluid DynFor many centuries, scientific discovery relied on performing experiments and the subsequent deduction of new theoretical models. The advent of powerful computers, coupled with new and ever more efficient numerical algorithms, makes it possible to simulate complex systems with increasing realism, and to automatize even model discovery using AI technologies. Computational Fluid Dynamics (CFD) is one of the most prominent areas that clearly requires, and even motivate exascale computing to be part of the engineering and academic workflows. Given the physical scaling and the availability of highly efficient simulation codes, CFD has the potential of reaching exascale performance, as one of the few application areas. This center will implement exascale ready workflows for addressing relevant challenges for future exascale systems, including those procured by EuroHPC. The significant improvement in energy efficiency will be facilitated through efficient exploitation of accelerated hardware architectures (GPUs) and novel adaptive mixed-precision calculations. Emphasis is furthermore given to new or improved algorithms that are needed to exploit upcoming exascale architectures. The efforts of the center are driven by a collection of five different lighthouse cases of physical and engineering interest, ranging from aeronautical to atmospheric flows, with the goal of reaching TRL 4 and even 5 for selected cases. All development is done in five European HPC codes which span the entire spectrum of CFD applications, including compressible, incompressible and multiphase flows.
Champ scientifique
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencesphysical sciencesclassical mechanicsfluid mechanicsfluid dynamicscomputational fluid dynamics
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwaresupercomputers
Mots‑clés
Programme(s)
- HORIZON.2.4 - Digital, Industry and Space Main Programme
Thème(s)
Régime de financement
HORIZON-JU-RIA - HORIZON JU Research and Innovation ActionsCoordinateur
100 44 Stockholm
Suède