Institute for Parallel and Distributed Systems

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1,661 to 1,670 of 1,694 Results

preCICE Distribution Version v2104.0 Sep 27, 2021 - Usability and Sustainability of Simulation Software Chourdakis, Gerasimos; Davis, Kyle; Rodenberg, Benjamin; Schulte, Miriam; Simonis, Frédéric; Uekermann, Benjamin; Abrams, Georg; Bungartz, Hans-Joachim; Cheun Yau, Lucia; Desai, Ishaan; Eder, Konrad; Hertrich, Richard; Lindner, Florian; Rusch, Alexander; Sashko, Dmytro; Schneider, David; Totounferoush, Amin; Volland, Dominik; Vollmer, Peter; Ziya Koseomur, Oguz, 2021, "preCICE Distribution Version v2104.0", https://doi.org/10.18419/DARUS-2125, DaRUS, V1 The preCICE distribution is the larger ecosystem around preCICE, which includes the core library, language bindings, adapters for popular solvers, tutorials, and vagrant files to prepare a virtual machine image. The compressed source files of this data set are only meant to archive this specific version v2104.0 of the distribution. If you want to u...
precice-2.2.0.tar.gz Sep 27, 2021 - preCICE Distribution Version v2104.0 Gzip Archive - 1.3 MB - MD5: 154441d32e6be58b991e9fe755da1b62 The actual coupling library
fenics-adapter-1.1.0.tar.gz Sep 27, 2021 - preCICE Distribution Version v2104.0 Gzip Archive - 75.6 KB - MD5: 49c8f2737e907db71ad04fd3c06c8e5b preCICE adapter for the FEM library FEniCS
Usability and Sustainability of Simulation Software(Universität Stuttgart) Sep 21, 2021
Simulation of Large Systems(Universität Stuttgart) Jun 8, 2021
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: Experiment in Chapter 5.1. Agglomerate moves over boundary and we inspect...
agglomerate-1954.txt Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers Plain Text - 144.2 KB - MD5: 174db7a3a2b1469ba7d814d403813009 DataInput Positions of the particles constituting the agglomerate. One particle position as X, Y, Z coordinates per row. Positions are measured in multiples of 20nm.
calculate_heterogeneity.py Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers Python Source Code - 6.6 KB - MD5: b503a4a5a9ef40732092551cef929d42 CodePostprocessing
case6-100mio.py Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers Python Source Code - 6.8 KB - MD5: 097a88bd4e844a2546906f6fe1e1a6ee Code
espresso-4.1.2+generic_dd-1.zip Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers ZIP Archive - 17.1 MB - MD5: e4819b09c36c4e2c979e08675690d99e ESPResSo 4.1.2 with generic_dd module to use librepa as backend to ESPResSo.

preCICE Distribution Version v2104.0

Sep 27, 2021 - Usability and Sustainability of Simulation Software

Chourdakis, Gerasimos; Davis, Kyle; Rodenberg, Benjamin; Schulte, Miriam; Simonis, Frédéric; Uekermann, Benjamin; Abrams, Georg; Bungartz, Hans-Joachim; Cheun Yau, Lucia; Desai, Ishaan; Eder, Konrad; Hertrich, Richard; Lindner, Florian; Rusch, Alexander; Sashko, Dmytro; Schneider, David; Totounferoush, Amin; Volland, Dominik; Vollmer, Peter; Ziya Koseomur, Oguz, 2021, "preCICE Distribution Version v2104.0", https://doi.org/10.18419/DARUS-2125, DaRUS, V1

The preCICE distribution is the larger ecosystem around preCICE, which includes the core library, language bindings, adapters for popular solvers, tutorials, and vagrant files to prepare a virtual machine image. The compressed source files of this data set are only meant to archive this specific version v2104.0 of the distribution. If you want to u...

precice-2.2.0.tar.gz

Sep 27, 2021 - preCICE Distribution Version v2104.0

Gzip Archive - 1.3 MB -

The actual coupling library

fenics-adapter-1.1.0.tar.gz

Sep 27, 2021 - preCICE Distribution Version v2104.0

Gzip Archive - 75.6 KB -

preCICE adapter for the FEM library FEniCS

Usability and Sustainability of Simulation Software(Universität Stuttgart)

Sep 21, 2021

Simulation of Large Systems(Universität Stuttgart)

Jun 8, 2021

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: Experiment in Chapter 5.1. Agglomerate moves over boundary and we inspect...

agglomerate-1954.txt

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

Plain Text - 144.2 KB -

DataInput

Positions of the particles constituting the agglomerate. One particle position as X, Y, Z coordinates per row. Positions are measured in multiples of 20nm.

calculate_heterogeneity.py

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

Python Source Code - 6.6 KB -

CodePostprocessing

case6-100mio.py

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

Python Source Code - 6.8 KB -

Code

espresso-4.1.2+generic_dd-1.zip

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

ZIP Archive - 17.1 MB -

ESPResSo 4.1.2 with generic_dd module to use librepa as backend to ESPResSo.

Add Data

Share Dataverse

Link Dataverse

Reset Modifications