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DOE OSTI · 3025386

2025 Advances in NekRS: Supporting improved performance for nuclear applications

Abstract

This report presents several 2025 advancements in NekRS, a high-fidelity spectral element CFD code developed at Argonne National Laboratory to support the NEAMS thermal-hydraulics program. The forthcoming v25 release consolidates several of these advances, adding new features for portability across heterogeneous GPU architectures, real-time in situ visualization, improved turbulence modeling, and conjugate heat transfer coupling. Over the past year, NekRS has demonstrated strong scalability and performance on DOE’s leading exascale platforms, including Aurora and Frontier, confirming its readiness for some of the largest and most complex simulations attempted to date. These achievements provide a powerful new platform for high-fidelity data generation, which in turn supports the development and validation of advanced closure models critical for reactor safety and design. Significant algorithmic innovations have also been introduced. A new global runtime h-refinement capability simplifies workflows by reducing mesh preparation burdens and enabling coarse-to-fine restarts. Building on this, a novel multigrid strategy was implemented to accelerate pressure and transport solves at scale, addressing long-standing bottlenecks in exascale CFD. Together, these developments improve both the efficiency and accessibility of high-fidelity simulations for reactor-relevant problems. Collectively, these enhancements represent a major step forward in simulation technology, positioning NekRS as a cornerstone of NEAMS efforts to enable accurate, efficient, and scalable high-fidelity analysis of advanced nuclear systems.

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BibTeXRIS

Merzari, Elia [Argonne National Laboratory (ANL), Argonne, IL (United States); Pennsylvania State Univ., University Park, PA (United States)], Kerkemeier, Stefan [Argonne National Laboratory (ANL), Argonne, IL (United States)], Shaver, Dillon [Argonne National Laboratory (ANL), Argonne, IL (United States)], Nguyen, Tri [Pennsylvania State Univ., University Park, PA (United States)], Min, Misun [Argonne National Laboratory (ANL), Argonne, IL (United States)], Lan, Yu-Hsiang [Univ. of Illinois at Urbana-Champaign, IL (United States)], Fischer, Paul [Argonne National Laboratory (ANL), Argonne, IL (United States); Univ. of Illinois at Urbana-Champaign, IL (United States)]. 2025-09-30. 2025 Advances in NekRS: Supporting improved performance for nuclear applications. https://doi.org/10.2172/3025386

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