Published March 20, 2023
| Version v1
Preprint
Open
Efficient and scalable hybrid fluid-particle simulations with geometrically resolved particles on heterogeneous CPU-GPU architectures
Authors/Creators
- 1. Friedrich-Alexander-Universität Erlangen-Nürnberg
Description
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: "Efficient and scalable hybrid fluid-particle simulations with geometrically resolved particles on heterogeneous CPU-GPU architectures". Run "python3 evaluate.py" to see the performance numbers from the paper on the terminal.
Files
walberla.zip
Files
(41.1 MB)
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