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DTSTART;TZID=Europe/Paris:20260429T140000
DTEND;TZID=Europe/Paris:20260429T150000
DTSTAMP:20260621T012806
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260527T150000
DTEND;TZID=Europe/Paris:20260527T160000
DTSTAMP:20260621T012806
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
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BEGIN:VEVENT
DTSTART;TZID=Asia/Tokyo:20260611T081000
DTEND;TZID=Asia/Tokyo:20260611T083000
DTSTAMP:20260621T012806
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260617T130000
DTEND;TZID=Europe/Paris:20260617T150000
DTSTAMP:20260621T012806
CREATED:20260528T133335Z
LAST-MODIFIED:20260612T074411Z
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!
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:20260621T012806
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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