Staff scientists at HLRS are involved in dozens of funded collaborative research projects, working closely with academic and industrial partners from across Europe to address key problems facing the future of high-performance computing. Many of these projects also involve applied research to address global challenges where HPC can provide new kinds of practical solutions. In addition, HLRS is leading multiple international projects focused on increasing HPC expertise across Europe.
This project is developing tools for meeting and collaborating from remote locations in three-dimensional virtual reality environments.
This project’s goal is to increase the accuracy and reduce the uncertainty of performance and load assessment tools and associated procedures that are commonly used in the industrial design and certification of modern wind energy systems.
As a participant in the German National Research Data Infrastructure initiative, this consortium is creating a national platform for data integration in catalysis and chemical engineering research.
ORCHESTRA is developing a networked platform for sharing data and for creating a new large-scale, pan-European cohort for research on the SARS-CoV-2 pandemic, providing a model for addressing future public health threats.
S+T+ARTS AIR is making supercomputing technologies and expertise available to enable innovative collaborations involving the arts, science, and technology.
This enrichment program offers school-age students opportunities to develop and execute simulation projects in collaboration with HLRS scientists.
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.
SNuBIC is improving methods for multiphysics simulations of coupled systems, with a focus on improving computational efficiency when simulating interfaces between physical systems.
SRI DiTEnS is developing methods for discursive transformation in local energy systems, using urban digital twins involving virtual reality to support decision making among stakeholders.
targetDART is developing a task-based approach for highly scalable simulation software that mitigates load-imbalance on heterogenous systems through dynamic, adaptive and reactive distribution of computational load across compute resources.
