TerraDT is organising an Machine Learning Workshop in Ostrava, on October 20-21, focussed on machine learning (ML) model development on HPC systems and coupling of ML models with numerical simulation methods. Hosted by IT4Innovations National Supercomputing Center (Google maps), the workshop will have hands-on sessions on the first day, working with the MareNostrum 5 (Barcelona Supercomputing Center) and Karolina (IT4Innovations) supercomputers.
Workshop in a nutshell
The workshop is split into two main topics.
The first day will showcase software stacks, efficient container building and deployment, and working with heterogenous HPC systems (training a model in one HPC system, and deploying the model for inference on another system).
The second day focuses on fundamentals of Earth System Model coupling, how to integrate components with Yet Another Compiler (YAC) and Community Interface (ComIn) for ICON processes. On both days, case studies and practical examples will be demonstrated from the TerraDT project, such as AI4Land (global high resolution land use reconstruction), and ML pipeline for model training on aerosol particle precidictions.
Who should attend?
The workshop is designed for consortium partners and sister projects, interested in developing their skills in Machine Learning (ML) models on HPC systems, and coupling of Earth System Models.
| 08:30 - 9:15 | On-site registration |
| 09:15 - 11:30 | Introduction to EuroHPC Machines, SW stack in MN5 and Karolina |
| 11:30 - 12:30 | Lunch Break |
| 12:30 - 15:45 | Hands on experience with Containerization |
| 15:45 - 16:15 | Coffee Break |
| 16:15 - 18:30 | Portability between EuroHPC machines |
| 09:15-10:00 | Introduction to Coupling in Earth System Models |
| 10:00-10:30 | Break with catering |
| 10:30-11:15 | Integrating Components with YAC and ComIn |
| 11:15-12:15 | Lunch Break |
| 12:15-13:00 | Case Studies and Practical Applications |
Benjamin Rodenberg
Benjamin Rodenberg is a Research Software Engineer at the German Climate Computing Centre (DKRZ). His work focuses on software for coupled Earth
system models and high-performance computing, with a particular interest in enabling modular and interoperable model components. He is a developer of the YAC library. Within TerraDT, he contributes to the development of generic coupling concepts and software interfaces that support the integration of diverse models into high-resolution Earth system simulations.
Marina Castano
Marina Castano is a Machine Learning engineer in the Earth Sciences department of the Barcelona Supercomputing Center. She has an undergraduate degree in Mathematics from the University of Salamanca and a master's degree in Data Science from New York University, obtained under a Fulbright scholarship. Her current research focuses on improving the representation of land surface parameters for weather and climate models. She uses computer vision models for semantic segmentation, to produce land use, land cover and leaf area index maps at 1km resolution.
Moritz Hanke
Moritz Hanke is a research software engineer at the German Climate Computing Center (DKRZ). He is the main developer of the YAC (Yet Another Coupler) library, a high-performance coupling framework for Earth system models. His work focuses on high-performance computing, parallel algorithms, scalable coupling software, and scientific software engineering. His research aims to enable efficient data exchange between distributed model components and to improve the performance and scalability of large-scale Earth system simulations.
Tomáš Martinovič
Tomáš Martinovič, Ph.D., is a Senior Researcher at IT4Innovations
National Supercomputing Center, VSB – Technical University of Ostrava.
His research focuses on machine learning, deep learning, data science,
mathematical modeling, and operations research, with particular interest
in applying advanced computational methods to complex real-world
problems. He leads research activities that combine artificial
intelligence with high-performance computing, developing scalable
methods for data analysis, modeling, and simulation. His work also
explores time-series analysis, statistical methods, and tools that make
advanced computational technologies more accessible to researchers and
domain experts.
Hotel Garni and Stracena Accomodation are the closest to the venue. Sareza Hotel is further away from the venue, and may need to use public transports to get to the venue.