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EXtreme-scale Algebraic MultiGrid for next-generation nuclear simulations

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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Topic(s)

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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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Coordinator

UNIVERSITA DEGLI STUDI DI PADOVA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 209 483,28
Address
VIA 8 FEBBRAIO 2
35122 PADOVA
Italy

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Region
Nord-Est Veneto Padova
Activity type
Higher or Secondary Education Establishments
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Total cost

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Partners (3)

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