This department is responsible for user management and accounting, including creating and maintaining web interfaces necessary for (federal) project management and data availability for users. The department also conducts activities related to the European supercomputing infrastructure (PRACE) and data management. This involves operating and continually developing high-performance storage systems as well as conceiving new strategies for data management for users and projects working in the field of data analytics.
Dr.-Ing. Thomas Bönisch
Research Scientist
Performance Engineer
Head, Project and User Management, Accounting
Research Assistant
Performance Analyst & Research Scientist
Deputy Head, Project and User Management, Accounting
Database-Driven Applications
The AI Alliance Baden-Württemberg aims to develop a data platform for AI-relevant data exchange among academic and industrial stakeholders.
This project’s goal is to increase the accuracy and reduce the uncertainty of performance and load assessment tools and associated procedures that are commonly used in the industrial design and certification of modern wind energy systems.
As a participant in the German National Research Data Infrastructure initiative, this consortium is creating a national platform for data integration in catalysis and chemical engineering research.
ORCHESTRA is developing a networked platform for sharing data and for creating a new large-scale, pan-European cohort for research on the SARS-CoV-2 pandemic, providing a model for addressing future public health threats.
SiVeGCS coordinates and ensures the availability of HPC resources of the Gauss Centre for Supercomputing, addressing issues related to funding, operation, training, and user support across Germany's national HPC infrastructure.
Focusing on a large-scale, high-resolution earth system model, TOPIO is investigating read and write rates for large amounts of data on high-performance file systems, as well as approaches that use compression to reduce the amount of data without causing a significant loss of information.
