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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20250827T162000
DTEND;TZID=Europe/Paris:20250827T164000
DTSTAMP:20260601T061317
CREATED:20250826T092550Z
LAST-MODIFIED:20250826T092550Z
UID:1706-1756311600-1756312800@ceec-coe.eu
SUMMARY:FLEXI: Scale-resolving simulations of compressible turbulence on modern HPC systems
DESCRIPTION:Join our own Anna Schwarz for the WHPC Europa invited session discussing our latest work preparing FLEXI for exascale and GPU-based systems. \nAbstract\nThe application of scale-resolving simulations such as LES and DNS remains challenging in numerous engineering applications due to the substantial computational demands and the limited available computational resources. It was thoroughly demonstrated in the last decade that high-order numerical methods show significant advantages in terms of computational cost required to achieve a given accuracy for DNS and LES and that they can be implemented efficiently on traditional CPU-based system architectures. However\, the improvements in performance for CPU-based systems has slowed down significantly over the last years. Consequently\, more specialised architectures\, such as GPUs\, have become increasingly popular in the last decade. These architectures still promise considerable performance improvements per generation and thus allow more complex flow cases to be tackled\, while also yielding better performance per invested amount of energy. However\, CPU codes cannot be easily run on GPU hardware\, since they exhibit a distinctly different architecture and require different programming languages. In this talk it is demonstrated how existing codebases can be translated efficiently to GPU hardware\, both in terms of implementation effort and computational performance. For this\, the unstructured DG code FLEXI~\cite{Krais2019\,Kempf2024} is utilized as an example. Finally\, it is shown that FLEXI is capable of tackling challenging large-scale problems with complex geometries on modern HPC systems.
URL:https://ceec-coe.eu/event/flexi-scale-resolving-simulations-of-compressible-turbulence-on-modern-hpc-systems/
LOCATION:TUD Dresden University of Technology   Barkhausen-Bau (BAR)\, Georg-Schumann-Str. 13  \, Dresden\, 01069\, Germany
CATEGORIES:Conference,InvitedSession
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20250827T164000
DTEND;TZID=Europe/Paris:20250827T170000
DTSTAMP:20260601T061317
CREATED:20250826T091453Z
LAST-MODIFIED:20250826T091453Z
UID:1702-1756312800-1756314000@ceec-coe.eu
SUMMARY:Exploring Flow Fields at Scale: GPU-Accelerated Scientific Visualization for Exascale CFD
DESCRIPTION:Join our own Susanne Malheiros at the WHPC Europa Invited Session to hear about our latest work on Vistle. \nAbstract:\nThis talk presents the ongoing efforts to port Vistle – a software for creating immersive extended reality visualizations of scientific data – to the GPU by integrating the portable visualization toolkit Viskores. The approach is illustrated by sample computational fluid dynamics (CFD) visualizations of the light-house cases from the Center of Excellence in Exascale CFD (CEEC) project.
URL:https://ceec-coe.eu/event/exploring-flow-fields-at-scale-gpu-accelerated-scientific-visualization-for-exascale-cfd/
LOCATION:TUD Dresden University of Technology   Barkhausen-Bau (BAR)\, Georg-Schumann-Str. 13  \, Dresden\, 01069\, Germany
CATEGORIES:Conference,InvitedSession
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20250917T150000
DTEND;TZID=Europe/Paris:20250917T160000
DTSTAMP:20260601T061317
CREATED:20250616T143450Z
LAST-MODIFIED:20250917T102232Z
UID:1589-1758121200-1758124800@ceec-coe.eu
SUMMARY:Introduction to the DLB Library and Measuring GPU performance
DESCRIPTION:The Dynamic Load Balancing library is a runtime library that offers different capabilities to HPC users. It consists of three different modules that work collaboratively and independently: \n\nLend When Idle (LeWI): Offers a transparent load balancing mechanism for hybrid applications (MPI + OpenMP)\nTracking Application Life Performance (TALP): Collects performance metrics at runtime\, offering a transparent and lightweight tool to measure the parallel and computational efficiency of your code. Metrics can be collected during runtime\, offering the possibility of dynamic adaptation.\nDynamic Resource Ownership Management: Provides a mechanism to change the amount of computational resources used by the different processes at runtime without stopping the application.\n\nIn this webinar we’ll provide an overview of the DLB library and each one of its modules. For each module we’ll share its main features\, how to use it\, and some success stories. We’ll put special focus on the TALP module and its recent extension to provide GPU metrics when getting performance measurements.
URL:https://ceec-coe.eu/event/introduction-to-the-dlb-library-and-measuring-gpu-performance/
LOCATION:Online
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://ceec-coe.eu/wp-content/uploads/2025/06/DLB2PosterDraft_V2-e1750084415957.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20251009T121000
DTEND;TZID=Europe/Paris:20251009T143000
DTSTAMP:20260601T061317
CREATED:20251008T140057Z
LAST-MODIFIED:20251008T140057Z
UID:1833-1760011800-1760020200@ceec-coe.eu
SUMMARY:Mixed-Precision and Energy-Efficient Computations
DESCRIPTION:If you’re at the Workshop on Approximate Computing in Numerical Linear Algebra in Paris this week\, don’t miss Yanxiang Chen’s  lunch poster talk on mixed precision and energy efficient computations! \nAbstract: High Performance Computing has traditionally focused on optimizing between memory usage\, arithmetic intensity\, parallelism\, and communication costs. However\, as simulations grow\, energy consumption has surged\, presenting significant sustainability challenges for large-scale computing infrastructures. Addressing these challenges requires innovative strategies that enhance energy efficiency without compromising computational accuracy or performance.\nWe present a systematic methodology for reducing the energy footprint of large-scale simulations via mixed-precision computing\, without compromising accuracy or performance. Our approach combines performance profiling with numerical sensitivity analysis to identify precision-insensitive code regions\, select promising candidates\, and gradually convert them to lower precision. Applied to representative high-performance computing kernels\, this strategy yields up to 40% speedup and 47% energy savings in an implicit Poisson solver\, and roughly 30% gains in both execution time and energy consumption in explicit solvers\, all while preserving double-precision level accuracy. These results demonstrate that our methodology provides a versatile and effective lever for enhancing the sustainability of HPC applications.
URL:https://ceec-coe.eu/event/mixed-precision-and-energy-efficient-computations-2/
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20251009T155000
DTEND;TZID=Europe/Paris:20251009T161000
DTSTAMP:20260601T061317
CREATED:20251008T135146Z
LAST-MODIFIED:20251008T135146Z
UID:1831-1760025000-1760026200@ceec-coe.eu
SUMMARY:Mixed-Precision Strategies in Spectral Element Codes: Accuracy-Aware Approximation for Energy-Efficient Simulations
DESCRIPTION:If you’re at the Workshop on Approximate Computing in Numerical Linear Algebra in Paris this week\, chec out Roman Iakymchuk’s talk on mixed-precision strategies in spectral element codes on Thursday! \nAbstract: Approximate computing via mixed precision arithmetic offers a promising path to energy-efficient high-performance computing. However\, identifying where and how to apply reduced precision without compromising solution accuracy remains a key challenge in scientific simulations. In this talk\, we present a comprehensive methodology for enabling mixed-precision in spectral element codes using floating-point analysis tools\, roofline modeling\, and empirical verification. We apply our strategy to Nekbone and Neko—two fluid dynamics solvers—by combining reduced-precision iterative solvers with double-precision critical operations such as dot products and global communications. Our method is supported by Verificarlo’s Monte Carlo arithmetic and precision emulation\, which help detect numerically stable kernels for approximation. The resulting mixed-precision versions deliver up to 2.38x faster time-to-solution and 2.8× lower energy-to-solution\, while retaining double-precision-level accuracy. This work highlights a practical\, accuracy-aware approach to integrating approximation into large-scale legacy applications\, making them fit for future exascale platforms.
URL:https://ceec-coe.eu/event/mixed-precision-strategies-in-spectral-element-codes-accuracy-aware-approximation-for-energy-efficient-simulations/
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20251022T140000
DTEND;TZID=Europe/Paris:20251022T150000
DTSTAMP:20260601T061317
CREATED:20251006T093146Z
LAST-MODIFIED:20251021T140651Z
UID:1766-1761141600-1761145200@ceec-coe.eu
SUMMARY:Extreme-Scale High-Fidelity Computational Fluid Dynamics with Neko
DESCRIPTION:Neko is a portable framework for high-order spectral element-based simulations\, mainly focusing on incompressible/compressible flow. The framework is written in a modern object-oriented approach and supports various hardware backends\, ranging across general-purpose processors\, accelerators\, and vector processors. Neko has demonstrated excellent performance and scalability across various hardware architectures and was nominated as a finalist for the ACM Gordon Bell prize in 2023. \nIn this webinar\, we will provide an introduction to Neko and its capabilities\, from installation to creating and running simulations. Special focus will also be on the major changes in terms of features and functionalities\, user interaction\, and improvements made in the upcoming release of Neko v1.0. By the end of the webinar\, attendees will have a basis as well as references and materials to start working with Neko on their own time.
URL:https://ceec-coe.eu/event/extreme-scale-high-fidelity-computational-fluid-dynamics-with-neko/
LOCATION:Online
ATTACH;FMTTYPE=image/png:https://ceec-coe.eu/wp-content/uploads/2025/10/NekoPoster-e1759755285466.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20251126T140000
DTEND;TZID=Europe/Paris:20251126T150000
DTSTAMP:20260601T061317
CREATED:20251020T090851Z
LAST-MODIFIED:20251125T081129Z
UID:1844-1764165600-1764169200@ceec-coe.eu
SUMMARY:Exploring CI/CD Tools and Workflows for Research and HPC Software Projects
DESCRIPTION:Continuous Integration and Continuous Deployment (CI/CD) are essential for sustainable and reproducible software development\, yet many projects still lack a structured workflow.\nThis webinar provides a beginner-friendly introduction to CI/CD with a focus on EuroHPC. We will explore why CI/CD matters\, review a selection of tools commonly used or even developed within European projects\, and discuss their strengths\, limitations\, and typical use cases.\nThe goal is to help developers new to CI/CD understand available options and how to choose tools that fit their needs. A short example from the waLBerla project will illustrate how such workflows can be applied in practice.
URL:https://ceec-coe.eu/event/exploring-ci-cd-tools-and-workflows-for-research-and-hpc-software-projects/
LOCATION:Online
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://ceec-coe.eu/wp-content/uploads/2025/10/CI-CDPoster-e1761921989737.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20251209T140000
DTEND;TZID=Europe/Paris:20251209T150000
DTSTAMP:20260601T061317
CREATED:20251020T095113Z
LAST-MODIFIED:20251209T100854Z
UID:1848-1765288800-1765292400@ceec-coe.eu
SUMMARY:Performance Portability for Fortran CFD Software with GALÆXI
DESCRIPTION:With GPU acceleration now ubiquitous in HPC\, there is more pressure than ever to port existing simulation software to leverage the new hardware. There are many GPU programming models available\, but they often have limited\, or completely lack\, support for Fortran. This leads owners of existing Fortran scientific codes to struggle with porting their software to multiple computing architectures. One option is to turn to C++ to achieve the greatest performance portability.\nThis webinar is a guide for the process of taking a Fortran CFD code and porting it to GPUs using CUDA/HIP C++. The basics of GPU hardware and programming will be covered\, to serve as a rough guide for adapting algorithms and data structures. The high-order discontinuous Galerkin spectral element CFD code GALÆXI is then presented. The important design questions and porting requirements in GALÆXI are discussed\, which researchers must answer and understand to effectively port their own Fortran codes with CUDA/HIP C++.
URL:https://ceec-coe.eu/event/performance-portability-for-fortran-cfd-software-with-galaexi/
LOCATION:Online
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://ceec-coe.eu/wp-content/uploads/2025/11/FLEXI2025Poster-e1764062226596.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260128T113000
DTEND;TZID=Europe/Paris:20260128T120000
DTSTAMP:20260601T061317
CREATED:20260126T125309Z
LAST-MODIFIED:20260126T125309Z
UID:1976-1769599800-1769601600@ceec-coe.eu
SUMMARY:Task-decomposed Overlapped Preconditioner for Sustained Strong Scalability on Accelerated Exascale Systems
DESCRIPTION: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.”
URL:https://ceec-coe.eu/event/task-decomposed-overlapped-preconditioner-for-sustained-strong-scalability-on-accelerated-exascale-systems/
CATEGORIES:Conference,Paper Talk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260128T120000
DTEND;TZID=Europe/Paris:20260128T123000
DTSTAMP:20260601T061317
CREATED:20260126T131141Z
LAST-MODIFIED:20260126T131312Z
UID:1978-1769601600-1769603400@ceec-coe.eu
SUMMARY:A Matrix-Free Algebraic hp-Multigrid Method for Computational Fluid Dynamics Applications
DESCRIPTION: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. “
URL:https://ceec-coe.eu/event/a-matrix-free-algebraic-hp-multigrid-method-for-computational-fluid-dynamics-applications/
CATEGORIES:Conference,Paper Talk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260302T164500
DTEND;TZID=Europe/Paris:20260302T183000
DTSTAMP:20260601T061317
CREATED:20260223T095144Z
LAST-MODIFIED:20260223T095144Z
UID:1993-1772469900-1772476200@ceec-coe.eu
SUMMARY:CEEC at the 1st Stuttgart Research Software Day
DESCRIPTION:What is research software and why does it matter? These questions are the point of the first ever Research Software Day at the University of Stuttgart. Come learn about the CEEC codes FLEXI/GALAXI during the poster session and stay to learn about what else is being developed on campus.
URL:https://ceec-coe.eu/event/ceec-at-the-1st-stuttgart-research-software-day/
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260303T161000
DTEND;TZID=Europe/Paris:20260303T163000
DTSTAMP:20260601T061317
CREATED:20260223T100154Z
LAST-MODIFIED:20260223T100154Z
UID:1995-1772554200-1772555400@ceec-coe.eu
SUMMARY:FAIR-FLEXI - A Trustworthy CFD Code for Simulation and Training
DESCRIPTION:Engineering and science disciplines\, especially computational fluid dynamics (CFD) generate massive amounts of research data\, but they can only become knowledge if they can be shared and explored through data analytics and AI. This\, in turn\, requires a FAIR (findable\, accessible\, interoperable\, reusable) infrastructure. For complex research software\, however\, FAIR goes far beyond being open-source: reproducibility is hindered by hidden expertise such as user-defined parameters\, compile options\, hardware constraints\, and third-party dependencies.\nThis talk outlines the design\, implementation\, and lessons learned from FAIR-FLEXI. We discuss how comprehensive provenance capture\, portable environments\, and interactive notebooks turn CFD workflows into trustworthy\, reproducible research assets.
URL:https://ceec-coe.eu/event/fair-flexi-a-trustworthy-cfd-code-for-simulation-and-training/
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260303T182500
DTEND;TZID=Europe/Paris:20260303T185000
DTSTAMP:20260601T061317
CREATED:20260202T084610Z
LAST-MODIFIED:20260202T101246Z
UID:1983-1772562300-1772563800@ceec-coe.eu
SUMMARY:GALAEXI: An Architecture-Agnostic GPU-Acceleration Approach for Legacy Fortran Software
DESCRIPTION:Join Spencer Starr at the Society for Industrial and Applied Mathematics (SIAM)Processing for Scientific Computing (PP26)confrence in Berlin for his talk on “GALAEXI: An Architecture-Agnostic GPU-Acceleration Approach for Legacy Fortran Software” \n GALAEXI is a high-order discontinuous Galerkin spectral element method (DGSEM) computational fluid dynamics (CFD) code used for the study of compressible\, turbulent flows. It is the device-accelerated version of an existing Fortran-based\, CPU-only CFD framework. In this talk\, the chosen strategy for porting the Fortran-based compute kernels in GALAEXI to CUDA/HIP C++ is covered. Included are discussions on managing device memory\, retaining support for CPU computations\, strategies for writing and testing kernels and how to handle GPU-to-GPU MPI communication. Specific emphasis is placed on how the strategies covered can be abstracted in an architecture-agnostic way to allow the greatest degree of portability. The information presented will then be distilled into advice for those seeking to perform a similar porting effort.
URL:https://ceec-coe.eu/event/galaexi-an-architecture-agnostic-gpu-acceleration-approach-for-legacy-fortran-software/
CATEGORIES:Conference,mini-symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260429T140000
DTEND;TZID=Europe/Paris:20260429T150000
DTSTAMP:20260601T061317
CREATED:20260401T074420Z
LAST-MODIFIED:20260429T121420Z
UID:2024-1777471200-1777474800@ceec-coe.eu
SUMMARY:Flagship scientific applications on a European RISC-V long-vector accelerator: Lessons learned
DESCRIPTION:As Europe accelerates its efforts in chip sovereignty\, scientific applications need to be ported to and evaluated on emerging prototypes\, assessing their performance as well as the technology readiness of the new hardware platforms. In this talk\, we will share the experiences and lessons learned when porting applications from CEEC and other Centers of Excellence to the long-vector RISC-V accelerators from the EPI and EUPILOT projects across different domains and applications.\nAttendees will learn code optimization techniques\, common performance pitfalls\, and evaluation methods for long-vector architectures\, which they can apply to their own applications and code bases in order to improve performance on these novel hardware platforms.
URL:https://ceec-coe.eu/event/flagship-scientific-applications-on-a-european-risc-v-long-vector-accelerator-lessons-learned/
LOCATION:Online
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://ceec-coe.eu/wp-content/uploads/2026/04/RISC-V2PosterDraft_V2-e1775029249290.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260527T150000
DTEND;TZID=Europe/Paris:20260527T160000
DTSTAMP:20260601T061317
CREATED:20260506T094826Z
LAST-MODIFIED:20260528T112040Z
UID:2102-1779894000-1779897600@ceec-coe.eu
SUMMARY:Enabling mixed-precision with VerifiCarlo: Sharing CEEC experience
DESCRIPTION:Join our own Roman Iakymchuk\, Umeå University on behalf of CEEC\, and Pablo de Oliveira Castro\, Université Paris-Saclay UVSQ\, for a 2nd look at VerifiCarlo! \nDriven by the increasing need to reduce the energy consumption of computing centers and simulations\, scientists have begun revising applications\, algorithms\, and their underlying working/storage precision not just for performance but also for energy efficiency. The goal is to make computational costs sustainable while adhering to the lagom principle—using precision that is “just right” to balance accuracy with efficiency.  \nHowever\, before lowering precision\, one must ensure that the simulation is numerically correct. Verificarlo  is an open-source framework designed to verify and optimize numerical accuracy in complex programs. Built on the LLVM infrastructure\, it provides various floating-point backends to simulate the effects of numerical errors and lower precision. By leveraging alternative floating-point models\, such as Stochastic Rounding\, Verificarlo pinpoints numerical bugs in simulation codes. A probabilistic definition of the number of significant digits allows us to estimate computational accuracy accurately.  \nThrough its variable precision backend\, Verificarlo enables one to explore the trade-offs between precision and performance by simulating lower precisions in software. It identifies specific code regions that benefit from reduced floating-point formats without sacrificing numerical correctness. This approach has been successfully applied in high-performance computing (HPC) domains such as neuroimaging pipelines\, DFT quantum mechanical modeling\, structural simulations\, and now CFD. \nIn this webinar\, we will introduce Verificarlo\, showcase its backends for numerical bug detection and mixed-precision analysis\, and present a success story highlighting the road from analysis of codes with Verificarlo to reliable mixed-precision codes.
URL:https://ceec-coe.eu/event/enabling-mixed-precision-with-verificarlo-sharing-ceec-experience-2/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://ceec-coe.eu/wp-content/uploads/2026/05/2026VerifiCarloEvent-Poster_final-e1778075967367.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Tokyo:20260611T081000
DTEND;TZID=Asia/Tokyo:20260611T083000
DTSTAMP:20260601T061317
CREATED:20260518T084142Z
LAST-MODIFIED:20260518T084142Z
UID:2121-1781165400-1781166600@ceec-coe.eu
SUMMARY:Calibration of Analytical Suction Bucket Installation Models Using Grain-Scale LBM-DEM Simulations
DESCRIPTION:If you’re at the 45th International Conference on Ocean\, Offshore & Arctic Engineering (OMAE2026) in Tokyo this June\, don’t miss the presentation from our own Samual Kemmler on “Calibration of Analytical Suction Bucket Installation Models Using Grain-Scale LBM-DEM Simulations.” \nSuction bucket foundations offer significant advantages for offshore wind applications\, enabling fast and cost-efficient installation. However\, installation failures due to piping erosion remain a critical challenge\, particularly in loose or highly permeable seabeds. Understanding the interplay between seepage flow\, soil properties\, and foundation geometry during suction installation is essential for improving design guidelines and installation strategies.\nIn this contribution\, fully-resolved numerical simulations are provided\, that allow a detailed\, grain-scale view of the suction installation process. A coupled Lattice Boltzmann-Discrete Element Method (LBM-DEM) framework is employed\, in which fluid flow is resolved at a scale significantly finer than the particle size. This allows to capture pore-scale flow effects\, particle rearrangements\, and evolving soil resistance during installation\, offering a higher level of detail compared to unresolved or continuum methods.\nThe modeling approach is used to explore how soil characteristics and installation parameters influence the development of piping erosion and the resulting installation performance. By systematically varying key parameters\, conditions are identified that promote either stable penetration or the onset of piping erosion\, highlighting the critical role of seepage near the skirt tip. Beyond identifying failure envelopes\, the simulations provide micromechanical insight into how local forces\, flow paths\, and soil resistance evolve as erosion initiates and progresses. These insights enable the critical examination of common assumptions regarding resistance distribution inside and outside the bucket during suction-driven installation.\nAdditionally\, the fully resolved simulation data can serve as a reference for calibrating and improving continuum-based models\, bridging the gap between particle-scale mechanisms and engineering-scale predictive tools. The results illustrate how fully resolved LBM-DEM modeling can complement experimental and field studies\, providing a powerful tool for developing more robust suction bucket installation strategies in challenging seabed conditions.
URL:https://ceec-coe.eu/event/calibration-of-analytical-suction-bucket-installation-models-using-grain-scale-lbm-dem-simulations/
CATEGORIES:Conference,Paper Talk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260617T130000
DTEND;TZID=Europe/Paris:20260617T150000
DTSTAMP:20260601T061317
CREATED:20260528T133335Z
LAST-MODIFIED:20260528T134923Z
UID:2171-1781701200-1781708400@ceec-coe.eu
SUMMARY:Extreme-Scale High-Fidelity Computational Fluid Dynamics with Neko
DESCRIPTION: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 a finalist for the ACM Gordon Bell prize in 2023. \nIn this interactive\, hands-on webinar\, we will provide a practical introduction to Neko and its capabilities. Participants will be guided step-by-step through installing\, creating\, and running simulations. Special focus will be placed on the major feature updates and user-interaction improvements in the upcoming Neko v1.1 release. Additionally\, we will deep-dive into the optimal configuration settings required to extract maximum performance from your hardware. By the end of the session\, attendees will have a solid foundation\, reference materials\, and the optimization insights needed to confidently work with Neko on their own. \nRegistration deadline 11 June\, 2026!\n\n	Notice: JavaScript is required for this content.
URL:https://ceec-coe.eu/event/extreme-scale-high-fidelity-computational-fluid-dynamics-with-neko-2/
CATEGORIES:Training,Webinar
ATTACH;FMTTYPE=image/png:https://ceec-coe.eu/wp-content/uploads/2026/05/NekoPosterDraft2-e1779968821767.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260624T154500
DTEND;TZID=Europe/Paris:20260624T171500
DTSTAMP:20260601T061317
CREATED:20260518T085613Z
LAST-MODIFIED:20260518T085613Z
UID:2123-1782315900-1782321300@ceec-coe.eu
SUMMARY:Mixed-Precision and Energy-Efficiency in SEM Codes
DESCRIPTION:If you’re going to be at ISC26 in Hamburg this year\, take a break and visit our own Yanxiang Chen and his poster “Poster: Mixed-Precision and Energy-Efficiency in SEM Codes.” \nMixed-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. In this work\, we propose a systematic and practical methodology for enabling mixed-precision in spectral element codes by combining insights from computer arithmetic tools\, performance modeling\, and targeted algorithmic analysis. \nOur approach leverages three complementary components: first\, computer arithmetic tools\, such as Verificarlo\, to instrument and analyze floating-point behavior throughout an application; second\, a roofline performance model to quantify the potential computational benefits of lower-precision arithmetic; and third\, precision-aware numerical techniques to mitigate or eliminate instabilities introduced when reducing precision in critical algorithmic kernels. Together\, these elements form a repeatable framework that guides developers in deciding where and how to apply mixed precision without compromising scientific correctness. \nTo demonstrate the effectiveness of our methodology\, we apply it to two representative spectral element codes widely used in computational fluid dynamics (CFD): Nekbone and Neko. Nekbone is a mini-application proxy for the spectral element CFD code Nek5000\, while Neko is a modern spectral element code used for solving incompressible Navier–Stokes equations. For each code\, we perform a detailed precision analysis\, identify precision-sensitive and precision-robust regions\, and design mixed-precision variants accordingly. \nIn the Nekbone case study\, our analysis reveals that mixed precision can significantly accelerate the Conjugate Gradient (CG) solver without adversely affecting convergence or solution quality. We address stagnation phenomena often observed in reduced-precision CG by integrating arithmetic verification with adaptive precision controls\, effectively preserving numerical stability. When executed on the MareNostrum 5 supercomputer\, the mixed-precision Nekbone achieves a 1.62x speedup in time-to-solution and a 2.43x reduction in energy-to-solution relative to the double-precision baseline\, demonstrating substantial gains in both performance and energy efficiency. \nFor the full Neko application\, we extend our precision strategy to a broader set of computational kernels\, leveraging the insights gained from Nekbone and applying them within the context of the momentum solver in the Navier-Stokes equation on the Poisson example. The mixed-precision Neko implementation attains up to ~1.3x improvement in both execution time and energy consumption compared to the double-precision version\, while maintaining the solution accuracy. \nThese results confirm that mixed-precision approaches\, when carefully designed and guided by arithmetic and performance analysis\, can yield significant improvements on HPC platforms for real-world scientific applications. Our methodology provides a general blueprint for HPC developers to adopt mixed precision in other spectral element and iterative methods\, ultimately contributing to more efficient utilization of future exascale systems.
URL:https://ceec-coe.eu/event/mixed-precision-and-energy-efficiency-in-sem-codes/
LOCATION:Congress Center Hamburg\, Congressplatz 1\, Hamburg\, 20355\, Germany
CATEGORIES:Conference,Poster,Poster Session
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