The Department of Numerical Methods and Libraries provides numerical libraries and compilers for HLRS computing platforms. The department has expertise in implementing algorithms on different processors and HPC environments, including vectorization based on the architecture of modern computers. Department members also conduct research related to the simulation of blood flow and bone fracture in the human body, and are responsible for training courses focused on programming languages and numerical methods that are important for HPC.
Dr.-Ing. Ralf Schneider
Server and Workstation Administration
Research Scientist
Support, HPC Compilers & Libraries
Deputy Head, Department of Numerical Methods & Libraries
Software Performance Engineer
Head, Numerical Methods & Libraries
Scientific Software Developer
The Center of Excellence in Exascale CFD will improve European state-of-the-art computational fluid dynamics algorithms to prepare them for efficient performance on exascale supercomputers.
exaFOAM is working to reduce bottlenecks in performance scaling for computational fluid dynamics (CFD) applications on massively parallel high-performance computing (HPC) systems.
EXCELLERAT P2 is developing advanced applications for engineering in the manufacturing, energy, aeronautics, and automotive sectors, focusing on use cases that demonstrate the importance of HPC, HPDA, and AI for European competitiveness.
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.
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.
Focusing on a large-scale, high-resolution earth system model, TOPIO is investigating read and write rates for large amounts of data on high-performance file systems, as well as approaches that use compression to reduce the amount of data without causing a significant loss of information.
