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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
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: A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations
Apr 20, 2023 - Publications
Pollinger, Theresa, 2022, "Replication Data for: A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations", https://doi.org/10.18419/darus-2790, DaRUS, V2
Replication data for advection, Landau damping, and two-stream instability experiments with mass-conserving basis functions (vs hat functions) in the combination technique. The simulations are based on the DisCoTec and SeLaLib codes. If you want to re-generate the numerical data,...
Replication Data for: "Scaling the Plasma Simulation while Conserving the Mass" - Poster at PASC '22
Jun 28, 2022
Pollinger, Theresa; Kormann, Katharina, 2022, "Replication Data for: "Scaling the Plasma Simulation while Conserving the Mass" - Poster at PASC '22", https://doi.org/10.18419/darus-2784, DaRUS, V1
Data to replicate the run times for comparing different combination technique basis functions' performance. To be presented at the poster session at PASC 2022. The data generated is the run time of one DisCoTec+SeLaLib step. Time measurements for certain "events" are collected on...
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...
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