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.

1,041 to 1,050 of 1,066 Results

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.
espresso-old_custom.zip Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers ZIP Archive - 25.4 MB - MD5: 2446b934682eae85e73df79ab1b2f634 Old version of ESPResSo with custom additions to perform coupled load-balancing.
extract-all.awk Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers application/x-awk - 487 B - MD5: ebbfc9c5578973c2482d8bd1e434825d CodePostprocessing
flowfield_patch_for_ESPResSo-4.1.2+generic_dd.diff Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers text/x-patch - 17.1 KB - MD5: 5985e01a97ae681e50e8d5781c05ec21 Patch to allow for the inclusion of an external time-dependent flow field like in our soot particle agglomeration simulation methodology.
generate-grid-mpiio-data.cc Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers C++ Source - 4.0 KB - MD5: 3e3506b0fe6e40c7e1794a6cb44f7e8d CodeInput
generate-uniform-random-mpiio-data.cc Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers C++ Source - 3.7 KB - MD5: 10bb1672ba2bdb60de8fa8d5b0409ddc CodeInput
lbm-md-coupled-sim.py Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers Python Source Code - 3.6 KB - MD5: ed134db520987257b9ae16b9bf0d0dc5 Code
lj-default-1700ppp.dat Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers Fixed Field Text Data - 13.5 KB - MD5: ec2e84d100d250571c895e5f04ee7e6f DataOutput Average, minimum and maximum runtime as well as imbalance every 4000 time steps. Data generated using the standard Cartesian domain decomposition of ESPResSo.
lj-reba-1700ppp.dat Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers Fixed Field Text Data - 13.5 KB - MD5: e834f72a74d54d36251a7da0c69edd5a DataOutput Average, minimum and maximum runtime as well as imbalance every 4000 time steps. Data generated using the SFC-based spatial domain decomposition optimized for the number of particles per subdomain.

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.

espresso-old_custom.zip

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

ZIP Archive - 25.4 MB -

Old version of ESPResSo with custom additions to perform coupled load-balancing.

extract-all.awk

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

application/x-awk - 487 B -

CodePostprocessing

flowfield_patch_for_ESPResSo-4.1.2+generic_dd.diff

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

text/x-patch - 17.1 KB -

Patch to allow for the inclusion of an external time-dependent flow field like in our soot particle agglomeration simulation methodology.

generate-grid-mpiio-data.cc

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

C++ Source - 4.0 KB -

CodeInput

generate-uniform-random-mpiio-data.cc

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

C++ Source - 3.7 KB -

CodeInput

lbm-md-coupled-sim.py

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

Python Source Code - 3.6 KB -

Code

lj-default-1700ppp.dat

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

Fixed Field Text Data - 13.5 KB -

DataOutput

Average, minimum and maximum runtime as well as imbalance every 4000 time steps. Data generated using the standard Cartesian domain decomposition of ESPResSo.

lj-reba-1700ppp.dat

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

Fixed Field Text Data - 13.5 KB -

DataOutput

Average, minimum and maximum runtime as well as imbalance every 4000 time steps. Data generated using the SFC-based spatial domain decomposition optimized for the number of particles per subdomain.

Add Data

Share Dataverse

Link Dataverse

Reset Modifications