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GALÆXI Verification: Convergence Tests

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DataCite Commons2024-12-05 更新2025-04-17 收录
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https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/darus-4155
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<p> <img src="https://numericsresearchgroup.org/images/icons/galexi.svg" alt="Numerics Research Group"> </p> <p>This Dataset contains the setup and the results of the convergence tests which are reported in the <a href="https://doi.org/10.1016/j.cpc.2024.109388">GALÆXI Paper</a> (Section 5.1). The results are contained in the file <code>results.txt</code>. The used case is based on the method of manufactured solution. The detailed formulation is specified in <a href="https://doi.org/10.1016/j.compfluid.2012.03.006">Hindenlang et al.</a> and is implemented as <code>ExactFunc=4</code> in GALÆXI.</p> <p>The folder <code>convtest/</code> contains the setup for the simulations in the format required by the <code>Reggie2.0</code> tool (available on <a href="https://github.com/piclas-framework/reggie2.0">GitHub</a>) to run the different cases in an automated fashion. The so-called userblock provided by GALÆXI can be used to rebuild the exact code versions to obtain the results from the paper. To build these versions employ the provided Python build script as:</p> <blockquote><code>python build.py ./build-folder ./userblock.txt</code></blockquote> <p>Moreover, the script <code>build.sh</code> automatically clones GALÆXI from GitHub, builds the code versions used for the paper and runs the convergence tests using the Reggie2.0 tool. For this, run</p> <blockquote><code>bash run.sh</code></blockquote> Note: Please ensure that all necessary dependencies of GALÆXI are available (including CUDA) and a Python3 environment is installed on the system. Moreover, the cases can become rather large, so that a consumer GPU might not be able to run the largest cases causing them to be skipped. The largest meshes can be excluded by removing them from the individual <code>parameter.ini</code> files in the <code>convtest/</code> folder.
提供机构:
DaRUS
创建时间:
2024-04-15
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