GALÆXI Application: NASA Rotor 37

DOI

This Dataset contains the setup data for the NASA Rotor 37 test case which corresponds to the application section in the GALÆXI Paper (Section 6).

Reference (Link): L. Reid, R. D. Moore, Design and overall performance of four highly loaded, high speed inlet stages for an advanced high-pressure-ratio core compressor, Technical Report 1337, NASA Lewis Research Center, Cleveland, OH, United States, 1978.

Executable of FLEXI/GALÆXI can be built using the build.py script: python3 build.py ./build-folder ./userblock.txt

Note: Please ensure that all necessary dependencies of GALÆXI/FLEXI are available (including CUDA) and a Python3 environment is installed on the system. Moreover, the NASA rotor test case is a large scale setup, such that a consumer GPU/CPU might not be able to run the case.

This work was funded by the European Union. This work has received funding from the European High Performance Computing Joint Undertaking (JU) and Sweden, Germany, Spain, Greece, and Denmark under grant agreement No 101093393. Moreover, this research presented was funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy EXC 2075 – 390740016, by the DFG Rebound – 420603919, and in the framework of the research unit FOR 2895. We acknowledge the support by the Stuttgart Center for Simulation Science (SimTech). The authors gratefully acknowledge the Gauss Centre for Supercomputing e.V. (www.gauss-centre.eu) for funding this project by providing computing time through the John von Neumann Institute for Computing (NIC) on the GCS Supercomputer JUWELS at Jülich Supercomputing Centre (JSC) as well as the support and the computing time on “Hawk” and its “Hawk-AI” extension provided by the Supercomputing Centre Stuttgart (HLRS) through the project “hpcdg”. This work was completed in part at the Helmholtz GPU Hackathon, part of the Open Hackathons program. The authors would like to acknowledge OpenACC-Standard.org, JSC, HZDR, and HIDA for their support.

Identifier
DOI https://doi.org/10.18419/darus-4138
Related Identifier IsCitedBy https://doi.org/10.1016/j.cpc.2024.109388
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-4138
Provenance
Creator Kurz, Marius ORCID logo; Kempf, Daniel (ORCID: 0000-0002-1445-536X); Blind, Marcel P. ORCID logo; Kopper, Patrick ORCID logo; Offenhäuser, Philipp ORCID logo; Schwarz, Anna ORCID logo; Starr, Spencer ORCID logo; Keim, Jens ORCID logo; Beck, Andrea ORCID logo
Publisher DaRUS
Contributor Numerics Research Group
Publication Year 2024
Funding Reference European Commission info:eu-repo/grantAgreement/EC/HE/101093393 ; DFG EXC 2075 - 390740016 ; DFG 420603919 ; DFG FOR 2895 - 406435057
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Numerics Research Group (University of Stuttgart)
Representation
Resource Type Dataset
Format text/x-python-script; text/plain; application/x-hdf5; application/octet-stream
Size 5522; 25273; 13692; 6023428456; 4435787834; 7293584488; 11737
Version 1.1
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences; Mechanical and industrial Engineering; Mechanics; Mechanics and Constructive Mechanical Engineering; Natural Sciences; Physics