Tag: NEKO
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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.”
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Extreme-Scale High-Fidelity Computational Fluid Dynamics with Neko
On October 22, Niclas Jansson hosted a CEEC webinar introducing Neko, covering everything from installation to running simulations. He highlighted key updates and new features coming in Neko v1.0, along with improvements in usability and functionality. Watch the recording and explore the materials below to start using Neko yourself.
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CEEC at ISC25
Join our own Niclas Jansson at the Euro HPC JU booth for a presentation on our project and progress so far!
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CEEC at EuroHPCSummit2025
We ahad the pleasure of joining over 30 other EuroHPC Joint Undertaking funded projects developing skills, codes, technologies, and even international cooperation in the poster showcase at last week’s #EuroHPCSummit2025 in Krakow, Poland. As we enter the second half of our project runtime, we chose to showcase the scaling results of our codes so far.…
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Introducing Manuel Münsch
I’m Manuel Münsch, one of the senior researchers within CEEC, working at the Institute of Fluid Mechanics at FAU. I did my master’s in mechanical engineering with a specialization in aerospace engineering and was already enthusiastic about fluid dynamics. I was quite sure that I wouldn’t spend my working life mainly with computers, though.
