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On Highly Scalable 2-Level-Parallel Unstructured CFD

Jägersküpper, Jens und Vollmer, Daniel (2022) On Highly Scalable 2-Level-Parallel Unstructured CFD. In: 8th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2022. ECCOMAS Congress 2022 - The 8th European Congress on Computational Methods in Applied Sciences and Engineering, 2022-06-05 - 2022-06-09, Oslo, Norwegen. doi: 10.23967/eccomas.2022.208. ISSN 2696-6999.

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Offizielle URL: https://www.scipedia.com/public/Jaegerskuepper_Vollmer_2022a

Kurzfassung

Exascale HPC systems are just about to become available. Such enormous simulation capabilities from the hardware perspective, however, require software that can effectively make efficient use of this massively parallel hardware. For the domain-decomposition based algorithms generally used for CFD, it has become apparent that running one MPI process, i.e. one domain, per CPU core is no longer apt when there are hundreds of cores available per cluster node. There are just too many processes per node that need to communicate with other remote processes. Message aggregation is thus a key aspect of highly scalable parallel codes. A 2-level parallelization featuring a shared-memory level in addition to the MPI process level seems a promising solution. The CODA (CFD for ONERA, DLR, Airbus) software for high-fidelity compressible-flow simulations of industrial configurations implements such a 2-level domain-decomposition hybrid-parallel approach. The processing of unstructured meshes is particularly challenging with respect to load balancing and non-linear data access. For maximum parallel scalability, CODA's parallelization not only features overlapping communication with computation on the process level, but also a dedicated Single Program (on) Multiple Data (SPMD) programming model for the shared-memory level. Here, the design principles of this parallelization concept are outlined, followed by details concerning its implementation in the Flucs infrastructure (FLIS), which has become part of CODA. Moreover, results of scalability studies with CODA are presented, which impressively demonstrate the extreme scalability realized with this parallelization approach. The studies were performed on two distinct HPC clusters, one based on Intel's Xeon Scalable Processor, the other one based on AMD's EPYC.

elib-URL des Eintrags:https://elib.dlr.de/194464/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:On Highly Scalable 2-Level-Parallel Unstructured CFD
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Jägersküpper, JensJens.Jaegerskuepper (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Vollmer, Danieldaniel.vollmer (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:Juni 2022
Erschienen in:8th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2022
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Nein
DOI:10.23967/eccomas.2022.208
ISSN:2696-6999
Status:veröffentlicht
Stichwörter:Computational Fluid Dynamics (CFD), High-Performance Computing (HPC), unstructured meshes, parallel computing, parallel programming, exascale
Veranstaltungstitel:ECCOMAS Congress 2022 - The 8th European Congress on Computational Methods in Applied Sciences and Engineering
Veranstaltungsort:Oslo, Norwegen
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:5 Juni 2022
Veranstaltungsende:9 Juni 2022
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Effizientes Luftfahrzeug
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L EV - Effizientes Luftfahrzeug
DLR - Teilgebiet (Projekt, Vorhaben):L - Digitale Technologien
Standort: Braunschweig
Institute & Einrichtungen:Institut für Aerodynamik und Strömungstechnik > CASE, BS
Hinterlegt von: Jägersküpper, Dr.rer.nat. Jens
Hinterlegt am:25 Okt 2023 10:26
Letzte Änderung:24 Apr 2024 20:55

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