University of Stuttgart and Hewlett Packard Enterprise to build Exascale Supercomputer

In the first stage, a transitional supercomputer, called Hunter, will begin operation in 2025. This will be followed in 2027 with the installation of Herder, an exascale system that will provide a significant expansion of Germany’s high-performance computing (HPC) capabilities. Hunter and Herder will offer researchers world-class infrastructure for simulation, artificial intelligence (AI), and high-performance data analytics (HPDA) to power cutting-edge academic and industrial research in computational engineering and the applied sciences.

The total combined cost for Hunter and Herder is €115 million. Funding will be provided through the Gauss Centre for Supercomputing (GCS), the alliance of Germany's three national supercomputing centers. Half of this funding will be provided by the German Federal Ministry of Education and Research (BMBF), and the second half by the State of Baden-Württemberg's Ministry of Science, Research, and Arts.

Hunter to Herder: a two-step climb to exascale

Hunter will replace HLRS’s current flagship supercomputer, Hawk. It is conceived as a stepping stone to enable HLRS’s user community to transition to the massively parallel, GPU-accelerated structure of Herder.

Hunter will be based on the HPE Cray EX4000 supercomputer, which is designed to deliver exascale performance to support large-scale workloads across modeling, simulation, AI, and HPDA. Each of the 136 HPE Cray EX4000 nodes will be equipped with four HPE Slingshot high-performance interconnects. Hunter will also leverage the next generation of Cray ClusterStor, a storage system purpose-engineered to meet the demanding input/output requirements of supercomputers, and the HPE Cray Programming Environment, which offers programmers a comprehensive set of tools for developing, porting, debugging, and tuning applications.

Hunter will raise HLRS’s peak performance to 39 petaFLOPS (39*1015 floating point operations per second), an increase from the 26 petaFLOPS possible with its current supercomputer, Hawk. More importantly, it will transition away from Hawk’s emphasis on CPU processors to make greater use of more energy-efficient GPUs.

Hunter will be based on the AMD Instinct™ MI300A accelerated processing unit (APU), which combines CPU and GPU processors and high-bandwidth memory into a single package. By reducing the physical distance between different types of processors and creating unified memory, the APU enables fast data transfer speeds, impressive HPC performance, easy programmability and great energy efficiency. This will slash the energy required to operate Hunter in comparison to Hawk by approximately 80% at peak performance.

Herder will be designed as an exascale system capable of speeds on the order of one quintillion (1018) FLOPS, a major leap in power that will open exciting new opportunities for key applications run at HLRS. The final configuration, based on accelerator chips, will be determined by the end of 2025.

The combination of CPUs and accelerators in Hunter and Herder will require that current users of HLRS’s supercomputer adapt existing code to run efficiently. For this reason, HPE will collaborate with HLRS to support its user community in adapting software to harness the full performance of the new systems.

Supporting scientific excellence in Stuttgart, Germany, and beyond

HLRS's leap to exascale is part of the Gauss Centre for Supercomputing's national strategy for the continuing development of the three GCS centers: The upcoming JUPITER supercomputer at the Jülich Supercomputing Centre will be designed for maximum performance and will be the first exascale system in Europe in 2025, while the Leibniz Supercomputing Centre is planning a system for widescale usage in 2026. The focus of HLRS’s Hunter and Herder supercomputers will be on computational engineering and industrial applications. Together, these systems will be designed to ensure that GCS provides optimized resources of the highest performance class for the entire spectrum of cutting-edge computational research in Germany.

For researchers in Stuttgart, Hunter and Herder will open many new opportunities for research across a wide range of applications in engineering and the applied sciences. For example, they will enable the design of more fuel-efficient vehicles, more productive wind turbines, and new materials for electronics and other applications. New AI capabilities will open new opportunities for manufacturing and offer innovative approaches for making large-scale simulations faster and more energy efficient. The systems will also support research to address global challenges like climate change, and could offer data analytics resources that help public administration to prepare for and manage crisis situations. In addition, Hunter and Herder will be state-of-the-art computing resources for Baden-Württemberg’s high-tech engineering community, including the small and medium-sized enterprises that form the backbone of the regional economy.