Data analytics for engineering data using machine learning

As part of the EXCELLERAT P2 training program, Fraunhofer SCAI in cooperation with HLRS offers a three-day workshop on data analytics for simulation data using machine learning.

This three-day online workshop addresses the preparation, analysis and interpretation of numerical simulation data by machine learning methods. Besides the introduction of the most important concepts like clustering, dimensionality reduction, visualization and prediction, this course provides several practical hands-on tutorials using the python libraries numpy, scikit-learn and pytorch as well as the SCAI DataViewer (see also the SimExplore tool).

This course is a joint training event of EuroCC@GCS, the German National Competence Centres for High-Performance Computing, and EXCELLERAT P2 project. It is organized in the framework of the EuroCC2 and CASTIEL2 "Training Sprint" initiative.

Learning outcomes

Basic knowledge on important machine learning methods to analyze numerical simulation data.
Moreover, practical experience in applying these methods.

Target audience

Researchers, developers and industrial end users interested in new ways to analyze and visualize numerical simulation data.

Veranstaltungsort

Online course
Organizer: HLRS, University of Stuttgart, Germany

Anmeldung

Veranstaltungsbeginn

10. Mär 2025
08:45

Verstaltungsende

12. Mär 2025
12:30

Sprache

Englisch

Einstiegslevel

Basis

Themenbereiche

Daten in HPC / Deep Learning / Maschinelles Lernen

Themen

Künstliche Intelligenz

Big Data

Deep Learning

Maschinelles Lernen

Scientific Machine Learning

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Prerequisites and content levels

Prerequisites

Preliminary experience with Python is required. Since Python is used, the following tutorial can be used to learn the syntax.
Preliminary experience in using Jupyter Notebook is also required.

Content levels

Beginners' level: 4 hours
Intermediate level: 5 hours
Community level: 5 hours

Learn more about course curricula and content levels.

Instructors

Arno Feiden, Christian Gscheidle and Daniela Steffes-lai (Fraunhofer SCAI)

Agenda

CET times:

Day 1: March 10, 2025

08:45-09:00 Drop in to the videoconference
09:00-12:30 Introduction to machine learning methods like clustering and dimensionality reduction by means of short practical exercises in python
12:30-13:30 Lunch break
13:30-17:00 Application of the methods from the previous session to numerical simulation data stemming from engineering applications with the help of the SCAI DataViewer

Day 2: March 11, 2025

08:45-09:00 Drop in to the videoconference
09:00-12:30 Introduction to prediction by deep learning methods together with hands-on exercises using the software library pyTorch

Day 3: March 12, 2025

08:45-09:00 Drop in to the videoconference
09:00-12:30 Introduction to interpretability of machine learning methods with the help of the examples from the previous session

Handout

Notebooks and data will be already available on the EXCELLERAT Portal (specific course page under construction).

Updated exercises and slides will be made available during the course.

Registration information

Registration closes on Monday, February 24, 2025.

Fees

The course is open and free of charge for participants from academia, industry, and public administration from the Member States (MS) of the EU and EU-associated (Horizon Europe), and PRACE countries.
Only participants from institutions belonging to these countries can take part in this course. The fee will be set to 0€
If you are a member of EXCELLERAT, special conditions are available.

Contact

Maksym Deliyergiyev, phone 0711 685 87261, training(at)hlrs.de

HLRS Training Collaborations in HPC

HLRS is part of the Gauss Centre for Supercomputing (GCS), together with JSC in Jülich and LRZ in Garching near Munich. EuroCC@GCS is the German National Competence Centre (NCC) for High-Performance Computing. HLRS is also a member of the Baden-Württemberg initiative bwHPC.

EXCELLERAT P2

This course is partly realised in cooperation with the Centre of Excellence EXCELLERAT P2 (funded by the European Union, grant agreement No 101092621). See also the EXCELLERAT Service Portal for more information. This course is part of the EuroCC2 and CASTIEL2 "Training Sprint" initiative.

Official course URLs

http://www.hlrs.de/training/2025/ML4SIM, on the EXCELLERAT Portal (under construction), and course website at Fraunhofer SCAI.

Further courses

See the training overview and the Supercomputing Academy pages.