As a German national supercomputing center, HLRS offers world-class high-performance computing systems and expertise that can support the most computationally demanding simulation projects. Our HPC resources enable scientists to conduct research at the frontiers of science, private companies to develop globally competitive products, and public administration to make data-informed decisions.
Beginning in early 2025, this next-generation, APU-accelerated supercomputer will offer increased performance for large-scale, state-of-the-art applications of simulation, AI, and data analytics.
HLRS's current flagship supercomputer supports large-scale data analytics as well as new kinds of hybrid workflows that combine HPC and AI.
This standard PC cluster is continually adapted to meet increasing demands and provide requirement-optimized solutions, including CPU, GPU, and vector computing components.
HLRS's high-performance storage system is designed to safely manage and archive petabytes of data generated by large-scale simulation projects.
Programming high-performance computing systems requires special expertise. HLRS's comprehensive HPC training and user support programs help our system users to use them more effectively.
Taught by experienced HPC professionals, our courses can help you develop the skills to program highly parallel computing clusters like Hawk confidently and effectively.
Our staff works closely with new and experienced system users to optimize their codes and enable new applications of HPC.
Are you a scientist or engineer who is interested in using our computing systems? Click here to learn more about getting access.
HLRS facilitates access to commonly used ISV and open source application software packages for science and engineering. Our systems are also installed with tools, compilers, and libraries to support users who bring their own codes.
Staff scientists at HLRS participate in funded research projects that are addressing key technical problems facing the future of high-performance computing. These activities include efforts to scale codes to larger supercomputing architectures, improve data management procedures for large-scale datasets, and enable better integration of HPC with other computing infrastructures. These activities contribute to the continuing evolution of high-performance computing and enable us to build expertise that we pass on to our system users.
Focusing on critical applications for the prediction of geohazards, the Centre of Excellence for Exascale in Solid Earth aims to become a hub for HPC software within the solid earth community.
EXCELLERAT P2 is developing advanced applications for engineering in the manufacturing, energy, aeronautics, and automotive sectors, focusing on use cases that demonstrate the importance of HPC, HPDA, and AI for European competitiveness.
The Performance Optimisation and Productivity Centre of Excellence in HPC provides performance optimization and productivity services for academic and industrial codes to help in their transition to larger scales and to monitor their progress.
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