The High Performance Computing Centre (HLRS) is a research and service institution affiliated to the University of Stuttgart (USTUTT). Founded in 1829, the foremost aim of the University of Stuttgart in research and teaching lies in the fields of engineering and the natural sciences. The university with its 140 institutes distributed over 10 faculties, 5,000 employees, and about 16,000 students has a strong impact in Baden-Württemberg, Germany’s traditional high-tech region.

HLRS has been the first and presently is one of the three national supercomputing centres in Germany and thus, a member of the GAUSS Centre for Supercomputing. As the only academic HPC centre in Germany, HLRS offers it services to academia and industry and therefore, concentrates on solution-oriented development and early product integration be exploiting the hww GmbH, the SICOS GmbH as well as the Automotive Simulation Center Stuttgart (ASCS). In addition, HLRS is a key stakeholder in two other solution centres, namely the Energy Solution Center (EnSoC) as well as the newly funded Media Solution Center.

Besides its business activities, HLRS focuses on excellent research in High Performance Computing, High Performance Data Analytics and supporting technologies, such as innovative computing architectures as well as Grid and Cloud Computing. The world leading experience of HLRS is complemented by supporting users in parallel programming (for example inside the Teraflop Workbench), by developing productivity tools and libraries, by applying software engineering methods within the HPC domain and by enhancing system management software for Grid and Cloud Computing.

In summary, HLRS research and operation focus is oriented towards:

  • The operation of supercomputers owned by hww GmbH, a public-private partnership consortium comprising among others the German Telecom and Porsche AG.
  • Teaching and training in distributed systems, software engineering and programming models.
  • Cooperation with international partners from industry and research on existing and new, innovative technologies.
  • Identifying and releasing technologies to simplify the access to HPC resources, especially for SMEs.