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| 001 | 1018068 | ||
| 005 | 20231130201845.0 | ||
| 024 | 7 | _ | |a 10.34734/FZJ-2023-04519 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2023-04519 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Badwaik, Jayesh |0 P:(DE-Juel1)164813 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a ISC High Performance 2024 |g ISC2023 |c Hamburg |d 2023-05-23 - 2023-05-26 |w Germany |
| 245 | _ | _ | |a Scalable Lattice Boltzmann Leaps to Exascale |
| 260 | _ | _ | |c 2023 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a CONFERENCE_POSTER |2 ORCID |
| 336 | 7 | _ | |a Output Types/Conference Poster |2 DataCite |
| 336 | 7 | _ | |a Poster |b poster |m poster |0 PUB:(DE-HGF)24 |s 1701331120_2440 |2 PUB:(DE-HGF) |x Other |
| 520 | _ | _ | |a Lattice Boltzmann methods (LBM) are trustworthy alternatives to conventionalCFD, showing roughly an order of magnitude performance advantage thanNavier-Stokes approaches in comparable scenarios. The S CALABLE projectbrings together industrial and academic partners to create a new frameworkfor an industrial LBM-based computational fluid dynamics (CFD) solver whichcan achieve high performance, scalability, and energy efficiency.In the context of EuroHPC, LBM is especially well suited to exploit advancedsupercomputer architectures through vectorization, accelerators, and massiveparallelization. To achieve its goals, SCALABLE aims to transfer leading edgeperformance technology between waLBerla and LaBS, thus breaking the silosbetween the worlds of scientific computing and physical flow modelling. |
| 536 | _ | _ | |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5112 |c POF4-511 |f POF IV |x 0 |
| 536 | _ | _ | |a SCALABLE - SCAlable LAttice Boltzmann Leaps to Exascale (956000) |0 G:(EU-Grant)956000 |c 956000 |f H2020-JTI-EuroHPC-2019-1 |x 1 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1018068/files/Poster%20PDF.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:1018068 |p openaire |p open_access |p VDB |p driver |p ec_fundedresources |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)164813 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5112 |x 0 |
| 914 | 1 | _ | |y 2023 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a poster |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | 1 | _ | |a FullTexts |
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