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| 001 | 1042839 | ||
| 005 | 20250912110145.0 | ||
| 020 | _ | _ | |a 978-3-031-85702-7 (print) |
| 020 | _ | _ | |a 978-3-031-85703-4 (electronic) |
| 024 | 7 | _ | |a 10.1007/978-3-031-85703-4_4 |2 doi |
| 024 | 7 | _ | |a 0302-9743 |2 ISSN |
| 024 | 7 | _ | |a 1611-3349 |2 ISSN |
| 024 | 7 | _ | |a 10.34734/FZJ-2025-02673 |2 datacite_doi |
| 024 | 7 | _ | |a WOS:001529693400004 |2 WOS |
| 037 | _ | _ | |a FZJ-2025-02673 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Caviedes Voullieme, Daniel |0 P:(DE-Juel1)186723 |b 0 |u fzj |
| 111 | 2 | _ | |a International Conference on Parallel Processing and Applied Mathematics |g PPAM 2024 |c Ostrava |d 2024-09-08 - 2024-09-11 |w Czech Republic |
| 245 | _ | _ | |a Portability of Multiphysics Applications on Heterogeneous Modular Supercomputers |
| 260 | _ | _ | |a Cham |c 2025 |b Springer Nature Switzerland |
| 295 | 1 | 0 | |a Parallel Processing and Applied Mathematics |
| 300 | _ | _ | |a 47 - 62 |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
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| 336 | 7 | _ | |a Contribution to a book |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |m contb |
| 490 | 0 | _ | |a Lecture Notes in Computer Science |v 15581 |
| 500 | _ | _ | |a ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-031-85702-7=978-3-031-85703-4 |
| 520 | _ | _ | |a 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. |
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| 536 | _ | _ | |a DEEP-EST - DEEP - Extreme Scale Technologies (754304) |0 G:(EU-Grant)754304 |c 754304 |f H2020-FETHPC-2016 |x 4 |
| 536 | _ | _ | |a DEEP-SEA - DEEP – SOFTWARE FOR EXASCALE ARCHITECTURES (955606) |0 G:(EU-Grant)955606 |c 955606 |f H2020-JTI-EuroHPC-2019-1 |x 5 |
| 536 | _ | _ | |a DFG project G:(GEPRIS)450058266 - SFB 1502: Regionaler Klimawandel: Die Rolle von Landnutzung und Wassermanagement (450058266) |0 G:(GEPRIS)450058266 |c 450058266 |x 6 |
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| 700 | 1 | _ | |a Koh, Seong-Ryong |0 P:(DE-Juel1)176474 |b 1 |u fzj |
| 700 | 1 | _ | |a Poll, Stefan |0 P:(DE-Juel1)165588 |b 2 |u fzj |
| 700 | 1 | _ | |a Suarez, Estela |0 P:(DE-Juel1)142361 |b 3 |e Corresponding author |
| 700 | 1 | _ | |a Arakawa, Takashi |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Nakajima, Kengo |0 P:(DE-HGF)0 |b 5 |e Corresponding author |
| 700 | 1 | _ | |a Sumimoto, Shinji |0 P:(DE-HGF)0 |b 6 |
| 773 | _ | _ | |a 10.1007/978-3-031-85703-4_4 |
| 856 | 4 | _ | |u https://link.springer.com/chapter/10.1007/978-3-031-85703-4_4 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1042839/files/Caviedes_et_al_PPAM2025_Modular_Supercomputing.pdf |y OpenAccess |
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