We are pleased to announce that from the 2024/2 application round, three new projects with a funding volume of 140,000 € have been approved:
- Projects at NHR@FAU:
- Auto-calibration of physics-based fully-distributed model WaSiM – Dr. Fan(FAU)
- Efficient Training Principles for Small Neural Networks on High-Performance Computing(HPC) Systems – Prof. Kist(FAU)
- High-performance parallel I/O for SIMSON – a pseudo-spectral solver for incompressible boundary layer flows – Prof. Schlatter(FAU)
- Exa-scale simulations of turbulent pipe flow on trillions of grid points using thousands of GPU nodes – Prof. Schlatter(FAU)
- Performance insights into Julia-based codes at HPC scale – Prof. Churavy(UA)
- Projects at LRZ:
- Bringing MGLET’s particle module to GPUs – Prof. Manhart(TUM)
We are pleased to announce that from the 2024/2 application round, three new projects with a funding volume of 140,000 € have been approved: