Name: Training: Distributed- and Federated Learning Date: Date: June 6, 09.00 am - 01.00 pm, 2024 Format: Online More Information & Register Description Short abstract: Today more data is gathered than ever before. This does not only hold for economic data, but also for research-data. At the same time, the need for ML-methods is […]
Name: Performance Engineering for Numerical Methods in Computational Fluid Dynamics Date: June 13 (1.00 pm – 5.00 pm) and June 14 (1.00 pm – 5.00 pm), 2024 Format: Online More Information & Register Description Short abstract: This workshop is designed to highlight recent activities, developments, and new concepts for analyses and improvements centered […]
Name: Introduction to Scientific Visualization with ParaView Date: 24 - 25 September (10 am - 05 pm) 2024 Format: Online More Information & Register Description Short abstract: ParaView is an open-source, multi-platform scientific data analysis and visualization tool that enables analysis and visualization of extremely large datasets. ParaView is both a general purpose, […]
Name: Introduction to Machine Learning and Deep Learning Date: October 10 and October 11, 09.00 am - 01.00 pm, 2024; Format: Online More Information & Register Description Short abstract: Not only in economics Machine- and Deep-Learning (ML/DL) are inherently used to solve highly complex problems in a data-driven way, but also the scientific […]
Name: Machine Learning for Materials Science Date: Date: October 21 - 23, 2024, 9.00 am - 01.00 pm Format: Online More Information & Register Description Short abstract: Data Science and Machine Learning are seen as the “Forth Paradigm” in Materials Science and are reshaping the research direction in many areas. In this training, […]
Name: Numerical Methods for Combustion Date: November 21 - November 22, 02.00 pm - 06.00 pm, 2024 Format: Online More Information & Register Description Short abstract: TBD
Name: Process Mining and HPC clusters Date: December 9, 09.00 am - 01.00 pm, 2024 Format: Online More Information & Register Description Short abstract: Integrating process mining (PM) with High-Performance Computing (HPC) clusters involves extracting SLURM-scheduled logs for PM analysis. Our findings indicate that HPC users underutilize SLURM’s capabilities as a Workflow Management […]
