Project description
Improved tools to simulate future nuclear systems
Nuclear fusion promises safe and sustainable energy but faces significant challenges such as maintaining high temperatures and confining the hot plasma in magnetic fields. Meanwhile, nuclear fission provides carbon-free energy and medical benefits but suffers from safety, reactor lifespan and waste management issues. Computational fluid dynamics (CFD) and magnetohydrodynamics (MHD) are crucial for advancing nuclear technologies but are limited by the complexity of extreme-scale calculations. With the support of the Marie Skłodowska-Curie Actions programme, the EXAMG project plans to develop a novel algebraic multigrid (AMG) preconditioner that leverages GPU power for efficient CFD and MHD simulations. Supporting the EU’s energy strategy, EXAMG should help advance reactor safety, fusion research, and Europe’s exascale supercomputing ecosystem.
Objective
Nuclear fusion has long been promised to deliver safe, cost-efficient, and sustainable energy production, but significant technical challenges remain in tokamak design, such as sustaining the extremely high required temperatures and effectively confining the hot plasma with magnetic fields. Conversely, nuclear fission provides large quantities of carbon-free energy and has critical medical applications but poses serious safety challenges, including reactors' limited life and nuclear waste management. In this context, Computational Fluid Dynamics (CFD) and Magnetohydrodynamics (MHD) are key to accelerating nuclear innovation. However, tokamak and nuclear reactor thermal hydraulics simulations remain elusive due to the vast range of relevant scales involved, which demand an exceptional mesh resolution. As a result, advancing these applications requires very accurate CFD and MHD simulations, whose main bottleneck is the solution of extreme-scale sparse linear systems. The EXAMG project addresses such challenges through a novel Algebraic Multigrid (AMG) preconditioner whose design involves a multidisciplinary team with experts in numerical linear algebra, high-performance computing and computational physics. The resulting linear solver combines multigrid's optimality with AMG's flexibility and GPU's capabilities to deliver a lightweight yet very effective method enabling unprecedented extreme-scale CFD and MHD simulations of nuclear applications. In this sense, EXAMG targets several key research areas of the EU's energy research and innovation strategy, directly supports the European Green Deal and closely aligns with Euratom research domains by fostering the extreme-scale simulations required to develop safer fission reactors and advance the European fusion roadmap. Furthermore, deploying advanced software for exascale supercomputers contributes to the EuroHPC JU major initiative of establishing a world-class European HPC ecosystem.
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CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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(opens in new window) HORIZON-MSCA-2024-PF-01
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35122 Padova
Italy
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