As simulation models become more complex and datasets grow ever larger, the graphic representation of data has become an essential part of science and engineering. Visual representations can quickly and intuitively reveal patterns in simulation data and make it easier to understand how they represent phenomena that are impossible to see in the physical world.
The Visualization Department at HLRS offers powerful virtual reality and augmented reality tools for transforming abstract data sets into immersive digital environments that bring data to life. These interactive visualizations support scientists and engineers across many disciplines, as well as professionals in nonscientific fields including architecture, city planning, media, and the arts.
Our CAVE projection environment and software for remote collaboration transform complex datasets into immersive, 3D, interactive visualizations, enabling group discussion, analysis, and real-time optimization.
In augmented reality (AR) virtual content is superimposed on locations or products in the real world in ways that integrate both visible and ordinarily invisible features of physical environments.
At HLRS visualization tools support work across a wide range of disciplines, from the sciences to technology development, to public administration, and even the arts.
Developed at HLRS, this software integrates simulations, postprocessing, and visualization functionalities seamlessly.
This extensible software environment is a highly scalable successor to COVISE, exploiting data, task and pipeline parallelism in hybrid shared and distributed memory environments with and without acceleration hardware.
OddLOT enables the testing of autonomous and advanced driver assistance systems in virtual environments using customizable prototype road systems.
Scientists in the HLRS Visualization Department lead funded research projects that develop and test new applications of virtual reality, artificial intelligence, and other technologies.
HLRS is developing planning and decision support tools for conflict analysis and reduction between cyclists and pedestrians. For this purpose machine learning, sensor technology, network analysis and VR are combined in digital twins.
HLRS is collaborating with other centers in Baden-Württemberg to develop tools for meeting and collaborating from remote locations in three-dimensional virtual reality environments.
HLRS is developing approaches for combining freely available data and supercomputing resources to create a new generation of searchable data products for European citizens, public authorities, economic operators, and decision makers.
HLRS welcomes students interested in pursuing research projects related to scientific visualization, interactive simulation, VR, AR, driving simulation, sensor simulation, or machine learning. Learn more about current opportunities.
Our team produces videos for institutes of the University of Stuttgart, including corporate videos, documentaries, and interviews. We also have expertise in AV transmission and live event streaming, including producing DVDs of events.
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High-Performance Computing Center Stuttgart
Nobelstraße 19, 70569 Stuttgart, Germany
+49 (0) 711 / 685-87 209
A member of the Gauss Centre for Supercomputing, HLRS is one of three German national centers for high-performance computing.
HLRS is a central unit of the University of Stuttgart.