Scientific support and training

The use of high-performance computing to solve problems of high scientific relevance has become increasingly important in recent years. In order to support scientists from different disciplines in the use of high-performance computing, so-called Simulation and Data Laboratories and Cross-Sectional Groups with different focuses have been established in the JARA CSD environment.

While Forschungszentrum Jülich focuses on users in the highest performance classes, RWTH Aachens scientific support and training activities primarily address users of university infrastructures in Germany. Thus, JARA CSD offers a very broad spectrum of scientific support for HPC users of different levels.

Simulation and Data Labs (SDLs)

The SDLs address thematically focused application scenarios and the further development of the associated simulation codes or support tools. They form a bridge between the HPC infrastructure and a specific scientific research area. The SDLs in JARA CSD cover a wide range of scientific topics.

SDLs at Forschungszentrum Jülich
In response to the many challenges posed by Petascale and now Exascale computer architectures, the Jülich Supercomputing Centre (JSC) at Forschungszentrum Jülich introduced the concept of the Simulation and Data Laboratories in 2009. Around ten such teams have been established at JSC specializing in various disciplines specializing in various disciplines including Biology, Neuroscience, Molecular Systems, Plasma Physics, Earth Science, Quantum Materials Science, Fluid Dynamics and Astrophysics..
Please find more information here.

SDLs at RWTH Aachen University
As part of the National High Performance Computing Alliance (NHR), RWTH Aachen University bundles together with the TU Darmstadt the resources and competencies of university high-performance computing and make them available to scientists at German universities free of charge. The main focus of RWTH and TU Darmstadt in NHR4CES is on the field of Computational Engineering Sciences (CES) with special emphasis on Engineering and Materials Science as well as engineering-oriented physics, chemistry and medicine.
Please find more information here.

Cross-Sectional Groups (CSGs)

The CSGs bundle methodological activities that are important for all users of high-performance computers. This includes parallel programming models, tools for performance analysis, the management and visualization of large data sets and the study of mathematical methods and algorithms.

ATMLs at Forschungszentrum Jülich
The CSGs established at Forschungszentrum Jülich were renamed to cross-domain Algorithms, Tools and Methods Labs (ATMLs). These are interdisciplinary teams of scientists performing research and development on and providing training in generic, cross-domain areas.
Find more information here.

CSGs at RWTH Aachen University
At RWTH Aachen, the CSGs form together with the SDLs the scientific support in NHR4CES. They support the scientists in questions concerning Data Management, Data Science, and Machine Learning as well as performance engineering and visualization of scientific datasets.
Find more information here.