Efficiency and scalability of fully-resolved fluid-particle simulations on heterogeneous CPU-GPU architectures
This dataset contains performance results (*.out), corresponding job scripts (*.sh), an evaluation script (evaluate.py), a snapshot of the waLBerla framework (walberla.zip), and build information (build.sh, build.out) for the following paper: "Efficiency and scalability of fully-resolved fluid-particle simulations on heterogeneous CPU-GPU architectures". Run "python3 evaluate.py" to see the performance numbers from the paper on the terminal. The output of "python3 evaluate.py" can be found in "evaluate_output.txt".
Institutions
- Federal Institute For Materials Research and Testing (DE)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-10-18
- DOI
- https://doi.org/10.5281/zenodo.7752953
- Primary Topic
- Military Defense Systems Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00