Publications

Data for publications of the SC group.

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21 to 30 of 38 Results

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.
measurement_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 - 10.0 KB - MD5: 506096b4219270e98fcbf4070ccc753a Patch to add measurements to ESPResSo-4.1.2+generic_dd
measurement.tcl Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers text/x-tcl - 1.5 KB - MD5: 8a44ec28a4ddd17b55c9caecf7dcecfb Code
parse-output-files.py Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers Python Source Code - 1.8 KB - MD5: ce172c2cfe132a44bd2c2a4b2e2d7bf7 CodePostprocessing
plot.py Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers Python Source Code - 2.0 KB - MD5: 99ed5c1b3b041cc61ce076758f9ccfe7 CodePostprocessing
plot-results.py Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers Python Source Code - 1.2 KB - MD5: 52aef8d11e18a35830640d3204321f6c CodePostprocessing
plot-scaling.py Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers Python Source Code - 1.3 KB - MD5: a0c2437ad173363211ee7844a2ecd566 CodePostprocessing

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.

measurement_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 - 10.0 KB -

Patch to add measurements to ESPResSo-4.1.2+generic_dd

measurement.tcl

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

text/x-tcl - 1.5 KB -

Code

parse-output-files.py

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

Python Source Code - 1.8 KB -

CodePostprocessing

plot.py

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

Python Source Code - 2.0 KB -

CodePostprocessing

plot-results.py

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

Python Source Code - 1.2 KB -

CodePostprocessing

plot-scaling.py

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

Python Source Code - 1.3 KB -

CodePostprocessing

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