Publications

Data for publications of the SC group.

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1 to 10 of 38 Results

spinodal_decomposition.py Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers Python Source Code - 3.1 KB - MD5: aabac166d774fcd86a201c147093c86d CodeInput
spinodal-load-balancing.py Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers Python Source Code - 3.6 KB - MD5: 59bac744bca22e1ebf74236dd0583e13 Code
simulation_script.tcl Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers text/x-tcl - 1.6 KB - MD5: b5dbae17801cc245d6c52a427c6b6383 Code
simulation-result-data-extracted.tab Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers Tabular Data - 551 B - 1 Variables, 12 Observations - UNF:6:E2YeVaO+v2VpzS+UkjzWWg== DataOutput
simulate-agglomerate.py Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers Python Source Code - 2.6 KB - MD5: 73c90f4d397e7ea42f89815290101407 Code
scaling.tab Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers Tabular Data - 342 B - 1 Variables, 10 Observations - UNF:6:0J2k1mxPjtjCMq6q8Vbw6g== DataOutput
run.sh Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers Shell Script - 522 B - MD5: 0c6b608ca0b39c969dd01d49abd4ecab Code
Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers Jun 7, 2021 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: A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations Apr 20, 2023 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,...
README_replication.md Apr 20, 2023 - Replication Data for: A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations Markdown Text - 2.5 KB - MD5: 012c5875ce81838527c4c4864b085df2 Readme

spinodal_decomposition.py

Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers

Python Source Code - 3.1 KB -

CodeInput

spinodal-load-balancing.py

Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers

Python Source Code - 3.6 KB -

Code

simulation_script.tcl

Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers

text/x-tcl - 1.6 KB -

Code

simulation-result-data-extracted.tab

Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers

Tabular Data - 551 B - 1 Variables, 12 Observations -

DataOutput

simulate-agglomerate.py

Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers

Python Source Code - 2.6 KB -

Code

scaling.tab

Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers

Tabular Data - 342 B - 1 Variables, 10 Observations -

DataOutput

run.sh

Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers

Shell Script - 522 B -

Code

Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers

Jun 7, 2021

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: A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations

Apr 20, 2023

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,...

README_replication.md

Apr 20, 2023 - Replication Data for: A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations

Markdown Text - 2.5 KB -

Readme

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