• CEEC at the 1st Stuttgart Research Software Day

    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 […]

  • Enabling mixed-precision with VerifiCarlo: Sharing CEEC experience

    Join our own Roman Iakymchuk, Umeå University on behalf of CEEC, and Pablo de Oliveira Castro, Université Paris-Saclay UVSQ, for our next webinar on mixed precision and VerifiCarlo!

    In 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.

  • Calibration of Analytical Suction Bucket Installation Models Using Grain-Scale LBM-DEM Simulations

    Suction 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. In this talk, Samuel Kemmler presents results that 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.

  • Mixed-Precision and Energy-Efficiency in SEM Codes

    Congress Center Hamburg Congressplatz 1, Hamburg, Germany

    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 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.