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931 to 940 of 960 Results

timers.json Oct 18, 2021 - Replication Data for: Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique JSON - 54.3 MB - MD5: d7ab0e8c6628d42828facd6c992a4663
timers.json Oct 18, 2021 - Replication Data for: Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique JSON - 31.0 MB - MD5: 09b22e3f7cfcf9afc789bf1cfcc6cca0
timers_login_node.json Oct 18, 2021 - Replication Data for: Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique JSON - 15.0 MB - MD5: 7cbf0a6832ecb000420627e23ab133c4
timers_login_node.json Oct 18, 2021 - Replication Data for: Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique JSON - 16.1 MB - MD5: c1be65932d1b12f4d388d1688e403466
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.
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

timers.json

Oct 18, 2021 - Replication Data for: Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique

JSON - 54.3 MB -

timers.json

Oct 18, 2021 - Replication Data for: Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique

JSON - 31.0 MB -

timers_login_node.json

Oct 18, 2021 - Replication Data for: Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique

JSON - 15.0 MB -

timers_login_node.json

Oct 18, 2021 - Replication Data for: Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique

JSON - 16.1 MB -

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.

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

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