GCS LARGE-SCALE PROJECTS

Large-scale projects and highly scalable parallel applications are characterised by large computing time requirements, not only for short time frames but often for longer time periods. Projects are currently classified as "large-scale", if they require at least 25,000 node-h on Hunter, (100 Mcore-h on Hawk up to the 33rd call), or 441,250 EFLOP on JUPITER Booster  (5,250 EFLOP on JUWELS Cluster up to the 35th call), or 45 Mcore-h on SuperMUC-NG Phase 1 (up to the 33rd call), or 140,000 GPU hours on SuperMUC-NG Phase 2. These values correspond to 2% of the systems’ annual production in terms of estimated availability. The call for GCS Large-Scale Projects is issued twice a year and approved projects start on 1 May and 1 November, respectively.

For an overview of approved GCS Large-Scale Projects, please chose from the list below.

GCS Large Scale Projects, Call 36, 2026/2

Computing time period for all projects of this call: November 1, 2026 - October 31, 2027

At HLRS:

  • “The onset of the conformal window from chiral phase boundaries”
    Prof. Dr. Owe Philipsen, Universität Frankfurt
    Platform: Hunter
     
  • “Large Eddy Simulation of Complex Boundary Layer Flows with Interactions”    
    Prof. Dr. Andrea Beck, Universität Stuttgart
    Platform: Hunter
     
  • “Ammonia/Hydrogen Direct Injection and Gas-Liquid Multiphase Flows”
    Dr. Matthias Meinke, RWTH Aachen, Fakultät 4 – Maschinenwesen
    Platform: Hunter
     
  • “Chevron Nozzle Shape Optimization using a Hybrid CFD/CAA Method and
    Shock-Aware Differentiable Programming for Flows with Discontinuities”
    Dr. Matthias Meinke, RWTH Aachen, Fakultät 4 – Maschinenwesen
    Platform: Hunter
     
  • “Direct numerical simulation of three-dimensional transport processes”
    Prof. Dr. Bernhard Weigand, Universität Stuttgart
    Platform: Hunter
     
  • “Investigation of Turbulence and Flow Control in Boundary Layers”
    Dr. Christoph Wenzel, Universität Stuttgart
    Platform: Hunter

At JSC:

  • “Low-lying overlap Dirac spectrum at the physical point: chiral and axial symmetry restoration and
    eigenmode localisation across Tc”
    Prof. Zoltán Fodor, Bergische Universität Wuppertal
    Platform: JUPITER Booster
     
  • “High-precision calculation of the muon anomalous magnetic moment with chiral fermions”
    Prof. Dr. Christoph Lehner, Universität Tegensburg
    Platform: JUPITER Booster
     
  • “WarmWorld Is Now”
    Dr. Daniel Klocke, Max-Planck Gesellschaft
    Platform: JUPITER Booster
     
  • “Open Native Multimodal Foundation Models Native Training”
    Dr. Mehdi Cherti, Forschungszentrum Jülich GmbH
    Platform: JUPITER Booster and JUPITER Cluster
     
  • “Training a Bayesian Exascale Atmospheric Swin Transformer (BEAST) for accurate uncertainty
    quantification in global weather forecasting”
    Dr. Charlotte Debus, Karlsruher Institut für Technologie (KIT)
    Platform: JUPITER Booster
     
  • “Search for Models to Identify Learning-principles of Efficient Structures in Neuroscience”
    Dr. David Kappel, Universität Bielefeld
    Platform: JUPITER Booster
     
  • ”JULIP – Powerful Open LLMs Made in Europe”
    Prof. Dr. Stefan Kesselheim, Forschungszentrum Jülich GmbH
    Platform: JUPITER Booster

At LRZ:

  • “Predictive Approaches for Protein And nucleic acid formulation Across scales”
    Dr. Benjamin Winkeljann, Ludwig Maximilians Universität München
    Platform: SuperMUC-NG PH2-GPU
     
  • “lOcal galaxy clUsTers beyond Cosmic rAy tranSporT”
    Dr. Klaus Dolag, Ludwig Maximilians Universität München
    Platform: SuperMUC-NG PH2-GPU
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