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1 to 10 of 21 Results
Usability and Sustainability of Simulation Software(Universität Stuttgart)
Sep 21, 2021
Test Setup of Turbine Blade Data Mapping
Feb 14, 2022 - Usability and Sustainability of Simulation Software
Simonis, Frédéric; Davis, Kyle; Uekermann, Benjamin, 2022, "Test Setup of Turbine Blade Data Mapping", https://doi.org/10.18419/darus-2491, DaRUS, V1, UNF:6:9SbHetN1EMzpQrXWO5FEeA== [fileUNF]
Input data, scripts, and results of the data mapping tests of section 2.2 of "Chourdakis et al., preCICE v2 - A Sustainable and User-Friendly Coupling Library, 2022".
Simulation of Large Systems(Universität Stuttgart)
Jun 8, 2021
Scientific Computing(Universität Stuttgart)
Apr 29, 2021
Reproduction data for: A preCICE-FMI Runner to Couple FMUs to PDE-Based Simulations
Jun 20, 2023 - Usability and Sustainability of Simulation Software
Willeke, Leonard; Schneider, David; Uekermann, Benjamin, 2023, "Reproduction data for: A preCICE-FMI Runner to Couple FMUs to PDE-Based Simulations", https://doi.org/10.18419/darus-3549, DaRUS, V1
Input files and results for two simulation examples using the preCICE-FMI runner as described in "A preCICE-FMI Runner to Couple FMUs to PDE-Based Simulations". First, the simulation of a partitioned mass-spring oscillator system is considered. All model equations are based on OD...
Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers
Jun 7, 2021 - Publications
Hirschmann, Steffen, 2021, "Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers", https://doi.org/10.18419/darus-1851, DaRUS, V1, UNF:6:WXqt4IDAIDGnJB9tcwMhdg== [fileUNF]
This dataset contains input data, scripts, etc. for replicating the numerical experiments in Steffen Hirschmann's dissertation. The data is prefixed with folders indicating the specific experiment as is the processing metadata. The experiments are: 00_periodicity_experiment: Expe...
Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique
Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique
Jun 27, 2023 - Scientific Computing
Pollinger, Theresa, 2023, "Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique", https://doi.org/10.18419/darus-3393, DaRUS, V1
We ran different fractions of the combination technique scenario described in the publication, also widely-distributed between the two machines SuperMUC-NG (file suffix `_ng`) and Hawk (file suffix `_hawk`). The dataset contains input files to generate the scenarios on the respec...
Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE
Jun 5, 2023 - Usability and Sustainability of Simulation Software
Schrader, Timo Pierre, 2023, "Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE", https://doi.org/10.18419/darus-3404, DaRUS, V1
This dataset contains all testcase setup files and result files for the measurements presented in the Master's thesis with the title "Efficient Application of Accelerator Cards for the Coupling Library preCICE" (Author: Timo Pierre Schrader). Furthermore, it contains the version...
Replication Data for: Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique
Oct 18, 2021 - Scientific Computing
Pollinger, Theresa, 2021, "Replication Data for: Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique", https://doi.org/10.18419/darus-2123, DaRUS, V1, UNF:6:azg9VIhJn6FUwnNgme2Kjg== [fileUNF]
Scripts to run the weak, strong and remote strong scaling tests described in "Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique", as well as measurements obtained on the Machines HAWK and our Institute's epyc machine.
Replication Data for: Development of a framework for point-particle tracking
Mar 7, 2024 - Usability and Sustainability of Simulation Software
Kschidock, Helena, 2024, "Replication Data for: Development of a framework for point-particle tracking", https://doi.org/10.18419/darus-3760, DaRUS, V1
This dataset contains a custom build for Altair's simulation software ultraFluidX and the input files used in the Master Thesis 'Development of an Euler-Lagrangian framework for point-particle tracking to enable efficient multiscale simulations of complex flows', submitted by Hel...
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