Supercomputers “ Hunter ” and “ Herder ” will power slice- edge academic and artificial exploration in computational engineering and the applied lores
The University of Stuttgart and Hewlett Packard Enterprise( NYSE HPE) have blazoned an agreement to make two new supercomputers at the High- Performance Computing Center of the University of Stuttgart( HLRS).
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 give a significant expansion of Germany’s high- performance computing( HPC) capabilities. Hunter and Herder will offer experimenters world- class structure for simulation, artificial intelligence( AI), and high- performance data analytics( HPDA) to power slice- edge academic and artificial exploration in computational engineering and the applied lores.
The total concerted cost for Hunter and Herder is€ 115 million. Backing will be handed through the Gauss Centre for Supercomputing( GCS), the alliance of Germany’s three public supercomputing centers. Half of this backing will be handed by the German Federal Ministry of Education and Research( BMBF), and the alternate half by the State of Baden- Württemberg’s Ministry of Science, Research, and trades.
Hunter to Herder a two- step rise to exascale
Hunter will replace HLRS’s current flagship supercomputer, Hawk. It’s conceived as a stepping gravestone to enable HLRS’s stoner community to transition to the largely resemblant, GPU- accelerated structure of Herder.
Hunter will be grounded 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 bumps will be equipped with four HPE Slingshot high- performance interconnects. Hunter will also work the coming generation of Cray ClusterStor, a storehouse system purpose- finagled to meet the demanding input/ affair conditions of supercomputers, and the HPE Cray Programming Environment, which offers programmers a comprehensive set of tools for developing, porting, remedying, and tuning operations.
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’ll transition down from Hawk’s emphasis on CPU processors to make lesser use of further energy-effective GPUs.
Hunter will be grounded 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 pets, emotional HPC performance, easy programmability and great energy effectiveness. This will slash the energy needed to operate Hunter in comparison to Hawk by roughly 80 at peak performance.
Herdsman will be designed as an exascale system able of pets on the order of one quintillion( 1018) duds, a major vault in power that will open instigative new openings for crucial operations run at HLRS. The final configuration, grounded on accelerator chips, will be determined by the end of 2025.
The combination of CPUs and accelerators in Hunter and Herder will bear that current druggies of HLRS’s supercomputer acclimatize being law to run efficiently. For this reason, HPE will unite with HLRS to support its stoner community in conforming software to harness the full performance of the new systems.
Supporting scientific excellence in Stuttgart, Germany, and beyond
HLRS’s vault to exascale is part of the Gauss Centre for Supercomputing’s public strategy for the continuing development of the three GCS centers The forthcoming 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 operation in 2026. The focus of HLRS’s Hunter and Herder supercomputers will be on computational engineering and artificial operations. Together, these systems will be designed to insure that GCS provides optimized coffers of the loftiest performance class for the entire diapason of slice- edge computational exploration in Germany.
For experimenters in Stuttgart, Hunter and Herder will open numerous new openings for exploration across a wide range of operations in engineering and the applied lores. For illustration, they will enable the design of further energy-effective vehicles, further productive wind turbines, and new accoutrements for electronics and other operations. New AI capabilities will open new openings for manufacturing and offer innovative approaches for making large- scale simulations briskly and more energy effective. The systems will also support exploration to address global challenges like climate change, and could offer data analytics coffers that help public administration to prepare for and manage extremity situations. In addition, Hunter and Herder will be state- of- the- art computing coffers for Baden- Württemberg’s high- tech engineering community, including the small and medium- sized enterprises that form the backbone of the indigenous frugality.
Statements
Mario Brandenburg( Parliamentary State Secretary, Federal Ministry for Education and Research, BMBF)
“ Funded by the BMBF and the State of Baden- Württemberg, the expansion of the computing structure of the Gauss Centre for Supercomputing at its Stuttgart position is an important step on the road to further computing power for Germany’s exploration and invention geography. The unique conception behind the computing armature at HLRS will insure that not just wisdom but also assiduity, SMEs, and start- ups will have first- class conditions for developing new inventions. This expansion also means increased computing capacity for the development of AI and a strengthening of Germany’s AI structure, in agreement with the civil exploration ministry’s AI action plan. “
