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@INPROCEEDINGS{Klocke:1049770,
      author       = {Klocke, Daniel and Frauen, Claudia and Engels, Jan Frederik
                      and Alexeev, Dmitry and Redler, René and Schnur, Reiner and
                      Haak, Helmuth and Kornblueh, Luis and Brüggemann, Nils and
                      Chegini, Fatemeh and Römmer, Manoel and Hoffmann, Lars and
                      Griessbach, Sabine and Bode, Mathis and Coles, Jonathan and
                      Gila, Miguel and Sawyer, William and Calotoiu, Alexandru and
                      Budanaz, Yakup and Mazumder, Pratyai and Copik, Marcin and
                      Weber, Benjamin and Herten, Andreas and Bockelmann, Hendryk
                      and Hoefler, Torsten and Hohenegger, Cathy and Stevens,
                      Bjorn},
      title        = {{C}omputing the {F}ull {E}arth {S}ystem at 1km
                      {R}esolution},
      address      = {New York, NY, USA},
      publisher    = {ACM New York, NY, USA},
      reportid     = {FZJ-2025-05554},
      pages        = {125-136},
      year         = {2025},
      note         = {arXiv version: https://arxiv.org/abs/2511.02021},
      comment      = {Proceedings of the International Conference for High
                      Performance Computing, Networking, Storage and Analysis},
      booktitle     = {Proceedings of the International
                       Conference for High Performance
                       Computing, Networking, Storage and
                       Analysis},
      abstract     = {We present the first-ever global simulation of the full
                      Earth system at 1.25 km grid spacing, achieving highest
                      time compression with an unseen number of degrees of
                      freedom. Our model captures the flow of energy, water, and
                      carbon through key components of the Earth system:
                      atmosphere, ocean, and land. To achieve this landmark
                      simulation, we harness the power of 8192 GPUs on Alps and
                      20480 GPUs on JUPITER, two of the world’s largest GH200
                      superchip installations. We use both the Grace CPUs and
                      Hopper GPUs by carefully balancing Earth’s components in a
                      heterogeneous setup and optimizing acceleration techniques
                      available in ICON’s codebase. We show how separation of
                      concerns can reduce the code complexity by half while
                      increasing performance and portability. Our achieved time
                      compression of 145.7 simulated days per day enables long
                      studies including full interactions in the Earth system and
                      even outperforms earlier atmosphere-only simulations at a
                      similar resolution.},
      month         = {Nov},
      date          = {2025-11-17},
      organization  = {SC '25: The International Conference
                       for High Performance Computing,
                       Networking, Storage and Analysis, St.
                       Louis, MO, USA (USA), 17 Nov 2025 - 21
                       Nov 2025},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5122 - Future Computing $\&$ Big Data Systems (POF4-512) /
                      5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
                      and Research Groups (POF4-511) / 5111 - Domain-Specific
                      Simulation $\&$ Data Life Cycle Labs (SDLs) and Research
                      Groups (POF4-511) / ATML-X-DEV - ATML Accelerating Devices
                      (ATML-X-DEV) / BMFTR 01LK2316A - Warmworld Smarter (IconRep)
                      (-01LK2316A) / BMBF 01LK2204D - WarmWorld Modul 3 "Easier"
                      (BMBF-01LK2204D)},
      pid          = {G:(DE-HGF)POF4-5122 / G:(DE-HGF)POF4-5112 /
                      G:(DE-HGF)POF4-5111 / G:(DE-Juel-1)ATML-X-DEV /
                      G:(BMFTR)-01LK2316A / G:(DE-Juel1)BMBF-01LK2204D},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.1145/3712285.3771789},
      url          = {https://juser.fz-juelich.de/record/1049770},
}