J. Hosan, GSI/FAIR
Easy access for researchers to high-performance computing resources is a key component of the digital ecosystem at Goethe University.
Researchers at Goethe University have access to state-of-the-art HPC systems directly at Goethe University through the Center for Scientific Computing and via the National High-Performance Computing (NHR) collaboration network.
The Tier 3 HPC system Fuchs features 198 nodes, each equipped with 2 Intel Xeon Ivy Bridge processors and 128 GB of RAM. It is operated directly by the Center for Scientific Computing and is exclusively available to researchers at Goethe University.
The Tier 2 system Goethe-NHR consists of 622 CPU nodes (488 Xeon Skylake, 134 Xeon Broadwell), along with an additional 108 AMD EPYC nodes, each equipped with 8 AMD Instinct MI210 GPUs. It is operated by CSC as part of the NHR-SW framework.
The Method Labs provide comprehensive guidance in scientific software engineering and support you with code and performance optimization, vectorization, and GPU-specific inquiries. Reach out to us directly through our contact form.
As part of the NHR cooperative network, additional Tier 2 HPC systems in Germany are available for use. Applications for all NHR systems can be submitted via the NHR network.
Marc Jaquemin
Access to "Baby Diamond," the first quantum computer in Hesse, is not limited to researchers at Goethe University. In the future, it will also be available through the NHR network and the John von Neumann Institute.
At the Hessian Center for Artificial Intelligence in Darmstadt, researchers can apply for access to cutting-edge HPC infrastructure and consulting services for AI model training.
Goethe University enhances its international connectivity through strong networking within national and international alliances, providing researchers with access to additional resources.
Goethe University is a member of the John von Neumann Institute for Computing (NIC). Researchers from all German universities and research institutions can access HPC systems in Jülich through NIC.
As a member of the German Research Network (DFN), researchers at Goethe University benefit from attractive conditions for cloud services (such as AWS, Google Cloud, Azure, Open Telekom Cloud) through DFN OCRE.
The EOSC EU Node offers various services for data exchange as well as running containers and virtual machines. These services are available to researchers across the European Union.
In high-performance computing, big data analyses, PHSD models, and molecular dynamics simulations enable precise analysis of large datasets. Optimized computing resources and comprehensive simulations lead to groundbreaking discoveries.
A research project at Goethe University measures the ecological footprint of companies on a large scale using high-performance computing resources.
A research team at the GSI Helmholtz Center for Heavy Ion Research is reconstructing the conditions following the Big Bang with the help of high-performance computing.