Tag: NEKO
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From Lighthouse Cases to Exascale Practice: Outcomes of CEEC
Since 2023, the Center of Excellence in Exascale CFD (CEEC) has worked to make high-fidelity CFD ready for Europe’s exascale systems. Its work has been driven by six lighthouse cases, addressing challenges from aeronautics, offshore energy, process engineering, shipping, and atmospheric flows, chosen to push physics and software to their limits. This community workshop presents…
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Growing Interest in Mixed-Precision Computing for CFD
CEEC’s latest webinar explored practical strategies for introducing mixed precision into CFD applications using VerifiCarlo and Neko/Nekbone as examples. With attendance doubling since 2025, the session highlighted how careful precision analysis can improve performance and energy efficiency while maintaining scientific accuracy on modern HPC systems.
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CEEC at WCCM – ECCOMAS 2026
Join us in Munich for the 17th World Congress on Computational Mechanics 10th European Congress on Computational Methods in Applied Sciences and Engineering (WCCM – ECCOMAS 2026 ) for a talk called, “Adjoint Methods Using POD State Reconstructions on Modern HPC Architectures.” Part of the mini-symposium MS349B Topology, Shape And Parameter Optimisation For Time-Dependent Systems…
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Presenting CEEC at ISC
Join our own Niclas Jannson at the EuroHPC JU booth J30 for an overview of CEEC and our progress. You’ll have a chance to ask questions and learn what CEEC work could mean for you and the future of CFD.
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Extreme-Scale High-Fidelity Computational Fluid Dynamics with Neko
Neko is a portable framework for high-order spectral element-based simulations, focusing primarily on incompressible and compressible fluid flows. Written using a modern object-oriented approach, the framework supports a wide range of hardware backends, including general-purpose processors, accelerators, and vector processors. Neko has demonstrated excellent performance and scalability across various hardware architectures and was nominated as…
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Mixed-Precision and Energy-Efficiency in SEM Codes
Mixed-precision computing has emerged as a key strategy to improve performance and energy efficiency on current and future high-performance computing (HPC) systems. However, integrating mixed-precision into large, production-level scientific applications remains challenging due to concerns about numerical stability, accuracy, and the complexity of identifying which computations can safely tolerate reduced precision. Our results confirm that…
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Best Paper Award at HPCAsia 2026: Matrix‑Free Algebraic hp‑Multigrid for Extreme‑Scale CFD
A recent CEEC-related research contribution received the Best Paper Award at HPCAsia 2026 for the work titled “A Matrix-Free Algebraic hp-Multigrid Method for Computational Fluid Dynamics Applications.” Overall, 143 papers were submitted to the conference, sixty-nine were accepted, and only three were selected as best paper finalists, of which CEEC’s contribution was deamed best. This…
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CEEC Progress Towards more energy-efficient CFD
Energy efficiency is a growing challenge in high-performance computing as systems become more powerful and complex. We analyzed energy use across major European supercomputers using CFD applications, highlighting how GPUs and mixed-precision methods can reduce energy consumption while maintaining performance and accuracy.
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A Matrix-Free Algebraic hp-Multigrid Method for Computational Fluid Dynamics Applications
After the talk on preconditioners in Osaka, Japan at SCA/HPCAsia2026 , stick with Niclas Jannson for his next talk on “A Matrix-Free Algebraic hp-Multigrid Method for Computational Fluid Dynamics Application., a best paper finalist. “
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Task-decomposed Overlapped Preconditioner for Sustained Strong Scalability on Accelerated Exascale Systems
Join Niclas Jannson in Osaka, Japan at SCA/HPCAsia2026 for his talk on “Task-decomposed Overlapped Preconditioner for Sustained Strong Scalability on Accelerated Exascale Systems.”