Liste der HLRS-Forschungsprojekte


Mithilfe eines globalen, hochauflösenden Modells des Erdsystems untersucht TOPIO die Lese- und Schreibgeschwindigkeiten für große Datenmengen auf Höchstleistungsdateisystemen sowie Ansätze, die die Datenmenge durch Komprimierung reduzieren, ohne dass dabei ein erheblicher Informationsverlust entsteht.



EE-HPC testet einen Ansatz zur Verbesserung der Energieeffizienz von HPC-Systemen durch die automatische, jobspezifische Regulierung von Systemparametern und -einstellungen.

[Translate to Deutsch:] EE-HPC logo


DEGREE is investigating a method for increasing energy efficiency in data centers by dynamically controlling cooling circuit temperatures, and is developing guidelines for implementing the resulting concepts.

Photo of cooling machinery at HLRS


Im Forschungsprojekt ENRICH werden die aktuellsten Entwicklungen im Bereich der Informationstechnologien und der Rechenzentren auf Ressourceneffizienz und deren Nachhaltigkeitspotential hin untersucht.

Logo for ENRICH project.


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.

Photo of a user support workshop in the HLRS training facility


The main goal of ExaFLOW is to address key algorithmic challenges in CFD (Computational Fluid Dynamics) to enable simulation at exascale, guided by a number of use cases of industrial relevance, and to provide open-source pilot implementations.

Mont-Blanc 3

The Mont-Blanc project aims to design a new type of computer architecture capable of setting future HPC standards, built from energy-efficient solutions used in embedded and mobile devices.

Sustainability in HPC Centers

Motivated by the sustainability strategy, green IT strategy, and HPC strategy of the state of Baden-Württemberg, this project investigated how principles of sustainability could be applied to the High-Performance Computing Center Stuttgart (HLRS).


Today, exascale computers are characterized by billion-way parallelism. Computing on such extreme scale requires methods that scale perfectly and have optimal complexity. This project brings together several crucial aspects of extreme scale solving.