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".

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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
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article

Efficiency and scalability of fully-resolved fluid-particle simulations on heterogeneous CPU-GPU architectures

Zenodo (CERN European Organization for Nuclear Research)
Military Defense Systems Analysis
article

Efficiency and scalability of fully-resolved fluid-particle simulations on heterogeneous CPU-GPU architectures

article en

Abstract

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".

Zenodo (CERN European Organization for Nuclear Research)
Federal Institute For Materials Research and Testing (DE), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
Decent work and economic growth
Openalex Percentile: Top 29%
Military Defense Systems Analysis
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