complianz-gdpr domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /srv/wpfarm/ceec_coe_eu/wordpress/wp-includes/functions.php on line 6114
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.
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.
Driven 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. However, before lowering precision, one must ensure that the simulation is numerically correct. Verificarlo is an open-source framework designed to verify and optimize numeric aaccuracy in complex programs. 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.
