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001042839 005__ 20250912110145.0
001042839 020__ $$a978-3-031-85702-7 (print)
001042839 020__ $$a978-3-031-85703-4 (electronic)
001042839 0247_ $$2doi$$a10.1007/978-3-031-85703-4_4
001042839 0247_ $$2ISSN$$a0302-9743
001042839 0247_ $$2ISSN$$a1611-3349
001042839 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-02673
001042839 0247_ $$2WOS$$aWOS:001529693400004
001042839 037__ $$aFZJ-2025-02673
001042839 041__ $$aEnglish
001042839 1001_ $$0P:(DE-Juel1)186723$$aCaviedes Voullieme, Daniel$$b0$$ufzj
001042839 1112_ $$aInternational Conference on Parallel Processing and Applied Mathematics$$cOstrava$$d2024-09-08 - 2024-09-11$$gPPAM 2024$$wCzech Republic
001042839 245__ $$aPortability of Multiphysics Applications on Heterogeneous Modular Supercomputers
001042839 260__ $$aCham$$bSpringer Nature Switzerland$$c2025
001042839 29510 $$aParallel Processing and Applied Mathematics
001042839 300__ $$a47 - 62
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001042839 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
001042839 4900_ $$aLecture Notes in Computer Science$$v15581
001042839 500__ $$aISSN: 0302-9743=1611-3349 ; ISBN: 978-3-031-85702-7=978-3-031-85703-4 
001042839 520__ $$aThe Modular Supercomputer Architecture (MSA) integrates various processing units, with compute modules tailored for specific algorithms, forming a unified heterogeneous system. Modules operate as parallel clustered systems, interconnected via a common or federated network. Optimized resource management allows flexible node selection, aiming for better performance. Hardware heterogeneity poses challenges for developers, who must port and optimize codes for various configurations. This study evaluated the performance of two applications-TSMP (regional Earth-system simulation) and mAIA (fluid dynamics)-across two MSA platforms (DEEP, Wisteria/BDEC-01), considering both hardware and software configurations.
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001042839 536__ $$0G:(EU-Grant)287530$$aDEEP - Dynamical Exascale Entry Platform (287530)$$c287530$$fFP7-ICT-2011-7$$x2
001042839 536__ $$0G:(EU-Grant)610476$$aDEEP-ER - DEEP Extended Reach (610476)$$c610476$$fFP7-ICT-2013-10$$x3
001042839 536__ $$0G:(EU-Grant)754304$$aDEEP-EST - DEEP - Extreme Scale Technologies (754304)$$c754304$$fH2020-FETHPC-2016$$x4
001042839 536__ $$0G:(EU-Grant)955606$$aDEEP-SEA - DEEP – SOFTWARE FOR EXASCALE ARCHITECTURES (955606)$$c955606$$fH2020-JTI-EuroHPC-2019-1$$x5
001042839 536__ $$0G:(GEPRIS)450058266$$aDFG project G:(GEPRIS)450058266 - SFB 1502: Regionaler Klimawandel: Die Rolle von Landnutzung und Wassermanagement (450058266)$$c450058266$$x6
001042839 588__ $$aDataset connected to CrossRef Book Series, Journals: juser.fz-juelich.de
001042839 7001_ $$0P:(DE-Juel1)176474$$aKoh, Seong-Ryong$$b1$$ufzj
001042839 7001_ $$0P:(DE-Juel1)165588$$aPoll, Stefan$$b2$$ufzj
001042839 7001_ $$0P:(DE-Juel1)142361$$aSuarez, Estela$$b3$$eCorresponding author
001042839 7001_ $$0P:(DE-HGF)0$$aArakawa, Takashi$$b4
001042839 7001_ $$0P:(DE-HGF)0$$aNakajima, Kengo$$b5$$eCorresponding author
001042839 7001_ $$0P:(DE-HGF)0$$aSumimoto, Shinji$$b6
001042839 773__ $$a10.1007/978-3-031-85703-4_4
001042839 8564_ $$uhttps://link.springer.com/chapter/10.1007/978-3-031-85703-4_4
001042839 8564_ $$uhttps://juser.fz-juelich.de/record/1042839/files/Caviedes_et_al_PPAM2025_Modular_Supercomputing.pdf$$yOpenAccess
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001042839 9141_ $$y2025
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