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Join our Anna Schwarz as one of the instructors for the reoccuring “Introduction to Computational Fluid Dynamics” course organized by HLRS, IAG (University of Stuttgart) and the
Institute of Software Methods for Product Virtualisation (DLR).
Join us for the 11th CASTIEL Code of the Month to learn about FLEXI/GALÆXI!
Both solvers provide a high-order consistent simulation tool chain for solving the compressible Navier–Stokes equations in a highly efficient, accurate and robust manner in a high performance computing setting either on CPU-based systems (FLEXI) or GPUaccelerated clusters (GALÆXI).
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:
• Lend When Idle (LeWI)
• Tracking Application Life Performance (TALP)
• Dynamic Resource Ownership Management
we will provide an overview of the DLB library and each one of its modules. For each module we will share its main features, how to use it, and some success stories.
Submit your abstract to our invited session at Marine 2025!!
The session titled “High-fidelity CFD with application in ship hydrodynamics” is seeking submissions by December 15th, 2024. Full details and guidelines for submission are available in the proposal .
Programming large-scale systems poses several challenges to scientific application developers. Join us for a webinar on PyCOMPSs, a pioneering approach to task-based programming in Python that enables codes to be executed in distributed computing platforms. This webinar will give an overview of PyCOMPSs illustrated with examples in development at BSC that include CFD simulations with AI training or real-time visualization in the same workflow.
This one-hour webinar introduces the visualization tool Vistle, which is used to create augmented reality/virtual reality visualizations of large-scale scientific datasets. It presents Vistle’s remote rendering functionality and how Vistle is being ported to GPUs as part of the CEEC project to enable visualization for exascale datasets.
