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 5,250 EFLOP on JUWELS Cluster , or 45 Mcore-h on SuperMUC-NG Phase 1, 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 35, 2026/1

Computing time period for all projects of this call: January 12 to February 9,2026

At HLRS:

  • “QCD thermodynamics with chiral fermions” 
    Prof. Zoltán Fodor, Bergische Universität Wuppertal
    Platform: Hunter and JUPITER Booster
  • “Muon magnetic moment”
    Prof. Zoltán Fodor, Bergische Universität Wuppertal
    Platform: Hunter
  • “Numerical analysis of the thermoacoustics of hydrogen-air flames and Inverse modal-decomposition
    for the determination of freestream disturbances in supersonic flows”
    Dr. Matthias Meinke, RWTH Aachen, Fakultät 4 – Maschinenwesen
    Platform: Hunter
  • “Semi-active flutter suppression through aerodynamic measures and Machine learning model for car interior noise”
    Dr. Matthias Meinke, RWTH Aachen, Fakultät 4 – Maschinenwesen
    Platform: Hunter

At JSC:

  • “High-Fidelity Vertex Functions from the Numerical Renormalization Group”
    Jun.-Prof. Dr. Fabian Kugler, Universität zu Köln
    Platform: JUWELS CPU
  • “Tuning correlation effects in transition metal-oxides: towards quantum critical points”
    Prof. Dr. Eva Pavarini, Forschungszentrum Jülich GmbH
    Platform: JUWELS CPU
  • “Exploring mesonic SU(3) chiral perturbation theory in lattice QCD”
    Prof. Gunnar Bali, Universität Regensburg
    Platform: JUWELS CPU
  • “Charmonium and Confinement from Lattice QCD”
    Prof. Dr. Francesco Knechtli, Bergische Universität Wuppertal
    Platform: JUPITER Booster and SuperMUC-NG PH1-CPU
  • “Nuclear Lattice Simulations”
    Prof. Dr. Ulf-G. Meißner, Forschungszentrum Jülich GmbH
    Platform: JUPITER Booster and JUWELS CPU
  • “Revisiting the reaction mechanism of HIV-1 proteases using machine-learning based highly scalable QM/MM calculations”
    Dr. Gia Linh Hoang, Forschungszentrum Jülich GmbH
    Platform: JUWELS CPU
  • “modElling oceaN eddy-ricH eArth system uNder Climate change”
    Prof. Dr. Thomas Jung, Helmholtz-Zentrum für Polar- und Meeresforschung
    Platform: JUWELS CPU
  • “Climate projections with high-resolution Arctic Ocean”
    Prof. Dr. Thomas Jung, Helmholtz-Zentrum für Polar- und Meeresforschung
    Platform: JUPITER Booster and JUWELS CPU
  • “From Plane Layers to Spherical Shells: Prandtl-Number Dependence of Geostrophic Turbulent Rotating Convection to the Extreme”
    Dr. Xiaojue Zhu, Max-Planck Gesellschaft
    Platform: JUPITER Booster and JUWELS CPU
  • “Direct Numerical Simulation of Pyrolysis of Biomass Particles”
    Prof. Dr. Dominique Thevenin, Otto von Guericke Universität
    Platform: JUWELS CPU
  • “Drag-reduction control on airplane wings through deep reinforcement learning”
    Mathis Bode, Forschungszentrum Jülich GmbH
    Platform: JUPITER Booster and JUWELS CPU
  • “Large-scale Bluff-body Hydrogen Combustion DNS and AI-based LES Modeling”
    Jun.-Prof. Federica Ferraro, Technische Universität Braunschweig
    Platform: JUPITER Booster and JUWELS CPU
  • “Effusion-Cooling and Flashback in H2 Aero-Engine Technologies”
    Prof. Dr. Christian Hasse, Technische Universität Darmstadt
    Platform: JUPITER Booster and JUWELS CPU

At LRZ:

  • “Emergent and critical phenomena in correlated electron systems: Quantum Monte Carlo simulations”    
    Prof. Dr. Fakher Assaad, Universität Würzburg
    Platform: SuperMUC-NG PH1-CPU
  • “Neutron Star Merger Simulations with GR-Athena++”
    Prof. Dr. Sebastiano Bernuzzi, Friedrich-Schiller-Universität Jena
    Platform: SuperMUC-NG PH1-CPU
  • “Approaching the chiral regime of baryon scattering amplitudes with lattice QCD”
    Prof. Dr. John Bulava, Ruhr-Universität Bochum
    Platform: SuperMUC-NG PH1-CPU
  • “Charmonium and Confinement from Lattice QCD”
    Prof. Dr. Francesco Knechtli, Bergische Universität Wuppertal
    Platform: SuperMUC-NG PH1-CPU and JUPITER Booster
  • “Ab initio simulation of QCD at physical quark masses and small lattice spacing”
    Prof. Harvey Meyer, Universität Mainz
    Platform: SuperMUC-NG PH1-CPU
  • “Magnetised Binary Neutron Stars with Subgrid Modelling”
    Dr. William Cook, Friedrich-Schiller-Universität Jena
    Platform: SuperMUC-NG PH2-GPU
  • “The Local Universe: Galaxies, Clusters, The LSS and Cosmic Rays”
    Dr. Klaus Dolag, Ludwig Maximilians Universität München
    Platform: SuperMUC-NG PH1-CPU
  • “Turbulent boundary layers at melting interfaces”
    Prof. Dr. Detlef Lohse, Max-Planck Gesellschaft
    Platform: SuperMUC-NG PH1-CPU
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