Your Contact

Prof. Dr.-Ing. Dr. h.c. (DonNTU) Dr. h.c. (RAS/Sib) Hon. Prof. (RAS/Sib) Michael M. Resch


+49 (0) 711 / 685-87200


+49 (0) 711 / 685-87209


Annual Report

Cover: HLRS Annual Report 2020

The HLRS Annual Report provides a wealth of information about our activities over the course of the year.

Further information and downloads

Awards for HLRS


Hyperion Annual Innovation Excellence Award for the movie “Maya Bee” done at HLRS


HPCwire Reader's Choice Award 2015 'Best Use of HPC In Automotive' for HLRS uses DDN storage to run 1,000 crash simulations within 24 hours


Award for the HLRS project 'Simulated Worlds' as 'Especially Award-worthy' by the foundation of education from Kreissparkasse for the district of Esslingen


Honorary professorship from the Russian Academy of Sciences for the director of the HLRS Michael Resch

Sustainability at HLRS

Our Understanding of Sustainability

Acting sustainably is important for securing our future and that of future generations. Therefore, we are committed to sustainability. Our Sustainability Guidelines give us the action frame to protect environment and to consider social as well as economic interests. We want to set and achieve clearly defined sustainability targets. We intend to establish an open dialogue with our stakeholders and therefore we will regularly publish a sustainability report.

Responsibility for Environment and Society


When using simulations (mechanical or computer based), it becomes possible to make statements about the potential behavior of a subject, without a direct interaction with the physical entities. Prediction of the potential behavior of subjects under changed conditions is thus one of the most important roles of simulations. As just one obvious example, performing initial crash-tests with a computer-implemented model of a car instead of a real one will certainly save money even in the short run and, due to the ability to test many different scenarios, might even make the car (far) safer than it would be using time-consuming physical tests alone.

Parametric optimization techniques make it possible to automatically determine parameters of the chosen model that maximize or minimize specific properties. Here simulations fill the role of a solver, helping to determine one or more figures of merit connected to a given parameter set and model. Thus simulations pave the way to new designs that, in all likelihood, would not have been found using human expertise alone, due to the usually high dimensionality of the input space of the model.

As simulations may also require significant amounts of compute time, many simulation types are closely related to HPC (although most computing devices, from a smart phone to the most sophisticated super computer, are capable of running at least some type of simulations). And, as modern computing devices also become increasingly more powerful, models and thus simulations may become more detailed over time, giving them a better ability for valid predictions and thus raising their significance for society.
It is important to note that simulations also affect many aspects of daily life, e.g. when estimating the spread of epidemics or simulations of pollutions in atmosphere.

In general, simulations, often in conjunction with powerful HPC devices, may provide us with tremendous opportunities that we should use. Some simulations even represent the only tool we have to make at least a rough forecast of what is to come. Not using them would be akin to driving blind-folded on a highway.


Zeile 1 - Bilderleiste Compute Clusters
Click for Further Information HPE Apollo Hawk (Copyright: Ben Derzian for HLRS)

HPE Apollo (Hawk)

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Further Information Cray CS-Storm (Image courtesy of Cray)

Cray CS-Storm

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NEC Cluster (Vulcan, Vulcan2)

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