The HiDALGO2 project is addressing challenges caused by climate change, focusing on technical issues related to scalability on HPC and AI infrastructures, the use of computational fluid dynamics methods, and uncertainty analysis.
HLRS is the coordinating center for this project to integrate artificial intelligence (AI) topics into curricula at the University of Stuttgart, and to implement AI technologies to improve instruction.
This project coordinates support for HPC users in Baden-Württemberg and the implementation of related measures and activities, including data intensive computing and large-scale scientific data management.
The Partnership for Advanced Computing in Europe supports high-impact scientific discovery and engineering R&D to enhance European competitiveness for the benefit of society.
The objective of this European training network for mechanical and computer science engineers is to develop advanced tools for analyzing fluid dynamics in large-scale models of turbine components and to eventually enable the virtual testing of an entire machine.
SiVeGCS coordinates and ensures the availability of HPC resources of the Gauss Centre for Supercomputing, addressing issues related to funding, operation, training, and user support across Germany's national HPC infrastructure.
The MoeWe project developed the Supercomputing-Akademie, a training program in high-performance computing that is conceived to address the unique needs of researchers and IT professionals in industry.
This project established direct contact to scientific communities at the universities of Baden-Württemberg to record in detail the specific needs for data services, infrastructure, and support in handling research data.
This enrichment program offers school-age students opportunities to develop and execute simulation projects in collaboration with HLRS scientists.
The European Learning Grid Infrastructure (ELeGI) project has the ambitious goal to develop software technologies for effective human learning.
