Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers
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https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/DARUS-1851
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资源简介:
This dataset contains input data, scripts, etc. for replicating the numerical experiments in Steffen Hirschmann's dissertation.<br>
The data is prefixed with folders indicating the specific experiment as is the processing metadata.<br>
The experiments are:
<ul>
<li>00_periodicity_experiment: Experiment in Chapter 5.1. Agglomerate moves over boundary and we inspect how well different partitioning methods perform.</li>
<li>01_homogeneous_scaling: Experiment in Chapter 8.1. Weak scaling of ESPResSo with and without our additions of a homogeneous fluid.</li>
<li>02_droplet_formation: Experiment in Chapter 8.1. Comparison of the behavior of a non-homogeneous particle distribution with and without load-balancing.</li>
<li>03_coupled_lbm_md: Experiment in Chapter 8.2. Weak scaling evaluation of our joint Lattice-Boltzmann (LBM) Molecular Dynamics (MD) partitioning.</li>
<li>04_lb_adaptions: Experiments in Chapter 8.3. Simulation of a spinodal decomposition with different load-balancing methods and different variants.</li>
<li>05_heterogeneity: Script for evaluating the heterogeneity measure defined in Chapter 7.1.</li>
<li>06_soot_particle_agglomeration: Script to simulate the soot particle agglomeration scenario. Methodology described in Chapter 4, simulation described in Chapter 8.4.</li>
</ul>
The indications to chapters reference the publication described in "Related Publication".
提供机构:
DaRUS
创建时间:
2021-06-07



