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@INPROCEEDINGS{CaviedesVoullieme:1042839,
      author       = {Caviedes Voullieme, Daniel and Koh, Seong-Ryong and Poll,
                      Stefan and Suarez, Estela and Arakawa, Takashi and Nakajima,
                      Kengo and Sumimoto, Shinji},
      title        = {{P}ortability of {M}ultiphysics {A}pplications
                      on {H}eterogeneous {M}odular {S}upercomputers},
      volume       = {15581},
      address      = {Cham},
      publisher    = {Springer Nature Switzerland},
      reportid     = {FZJ-2025-02673},
      isbn         = {978-3-031-85702-7 (print)},
      series       = {Lecture Notes in Computer Science},
      pages        = {47 - 62},
      year         = {2025},
      note         = {ISSN: 0302-9743=1611-3349 ; ISBN:
                      978-3-031-85702-7=978-3-031-85703-4},
      comment      = {Parallel Processing and Applied Mathematics},
      booktitle     = {Parallel Processing and Applied
                       Mathematics},
      abstract     = {The Modular Supercomputer Architecture (MSA) integrates
                      various processing units, with compute modules tailored for
                      specific algorithms, forming a unified heterogeneous system.
                      Modules operate as parallel clustered systems,
                      interconnected via a common or federated network. Optimized
                      resource management allows flexible node selection, aiming
                      for better performance. Hardware heterogeneity poses
                      challenges for developers, who must port and optimize codes
                      for various configurations. This study evaluated the
                      performance of two applications-TSMP (regional Earth-system
                      simulation) and mAIA (fluid dynamics)-across two MSA
                      platforms (DEEP, Wisteria/BDEC-01), considering both
                      hardware and software configurations.},
      month         = {Sep},
      date          = {2024-09-08},
      organization  = {International Conference on Parallel
                       Processing and Applied Mathematics,
                       Ostrava (Czech Republic), 8 Sep 2024 -
                       11 Sep 2024},
      cin          = {JSC / IBG-3},
      cid          = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)IBG-3-20101118},
      pnm          = {5122 - Future Computing $\&$ Big Data Systems (POF4-512) /
                      5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / DEEP - Dynamical
                      Exascale Entry Platform (287530) / DEEP-ER - DEEP Extended
                      Reach (610476) / DEEP-EST - DEEP - Extreme Scale
                      Technologies (754304) / DEEP-SEA - DEEP – SOFTWARE FOR
                      EXASCALE ARCHITECTURES (955606) / DFG project
                      G:(GEPRIS)450058266 - SFB 1502: Regionaler Klimawandel: Die
                      Rolle von Landnutzung und Wassermanagement (450058266)},
      pid          = {G:(DE-HGF)POF4-5122 / G:(DE-HGF)POF4-5111 /
                      G:(EU-Grant)287530 / G:(EU-Grant)610476 / G:(EU-Grant)754304
                      / G:(EU-Grant)955606 / G:(GEPRIS)450058266},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      UT           = {WOS:001529693400004},
      doi          = {10.1007/978-3-031-85703-4_4},
      url          = {https://juser.fz-juelich.de/record/1042839},
}