HLRS supported the artist collective Lunar Ring by providing computing resources for deep learning.

HLRS uses supercomputing and visualization to develop comprehensive models of urban environments, supports city planning in Herrenberg.

The HLRS 2019 Annual Report provides a wealth of information about our activities over the past year. Highlights include a look at steps HLRS has been taking to seize new opportunities offered by artificial intelligence,...

The course offered insights into theoretical and practical dimensions of entrepreneurship in the academic sector.

As it develops services to prepare European engineering for exascale computing, EXCELLERAT invites potential stakeholders to tell us more about your needs.

In his PhD research at HLRS, computer scientist Björn Schembera proposed strategies to make valuable research data more productive and long-term data management at HPC centers more efficient.

As a member of the AI Ethics Impact Group, HLRS helped create a systematic approach for implementing ethical standards in the development and use of AI algorithms.

University of Duisburg-Essen researchers use HPC to model fuel jet flames in unprecedented detail, verifying experiments done by the German Aerospace Agency.

HLRS's high-performance computing systems remain operational, nontechnical staff recommended to work from home.

Scientists pursuing research aimed at prevention, containment, remediation, or cures related to the coronavirus pandemic will be given expedited access to HPC resources at HLRS.