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16,171 to 16,180 of 16,240 Results

su2-adapter-ab84387.tar.gz Sep 27, 2021 - preCICE Distribution Version v2104.0 Gzip Archive - 246.3 KB - MD5: 92f8d58b4fd50dfad6d2f8b26bb6a6c2 preCICE adapter for the CFD code SU2
tutorials-202104.1.1.tar.gz Sep 27, 2021 - preCICE Distribution Version v2104.0 Gzip Archive - 6.1 MB - MD5: 49693609843e40a31f4db34ff1f14f34 Tutorial cases for preCICE with real solvers
vm-202104.1.0.tar.gz Sep 27, 2021 - preCICE Distribution Version v2104.0 Gzip Archive - 8.8 KB - MD5: e8200c521de7e8d0e8d4e19a7594a010 Vagrant box with preCICE and examples preinstalled
Visual Analytics System for Hidden States in Recurrent Neural Networks Sep 10, 2021 - PN 6-4 Munz, Tanja; Garcia, Rafael; Weiskopf, Daniel, 2021, "Visual Analytics System for Hidden States in Recurrent Neural Networks", https://doi.org/10.18419/DARUS-2052, DaRUS, V1 Source code of our visual analytics system for the interpretation of hidden states in recurrent neural networks. This project contains source code for preprocessing data and the visual analytics system. Additionally, we added precomputed data for immediate use in the visual analysis system. The sub directories contain the following: dataPreparation...
hiddenStatesVis.zip Sep 10, 2021 - Visual Analytics System for Hidden States in Recurrent Neural Networks ZIP Archive - 26.7 MB - MD5: 3d4914ce43619dfa073b0828ead09ee5 Source code of our approach.
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.

su2-adapter-ab84387.tar.gz

Sep 27, 2021 - preCICE Distribution Version v2104.0

Gzip Archive - 246.3 KB -

preCICE adapter for the CFD code SU2

tutorials-202104.1.1.tar.gz

Sep 27, 2021 - preCICE Distribution Version v2104.0

Gzip Archive - 6.1 MB -

Tutorial cases for preCICE with real solvers

vm-202104.1.0.tar.gz

Sep 27, 2021 - preCICE Distribution Version v2104.0

Gzip Archive - 8.8 KB -

Vagrant box with preCICE and examples preinstalled

Visual Analytics System for Hidden States in Recurrent Neural Networks

Sep 10, 2021 - PN 6-4

Munz, Tanja; Garcia, Rafael; Weiskopf, Daniel, 2021, "Visual Analytics System for Hidden States in Recurrent Neural Networks", https://doi.org/10.18419/DARUS-2052, DaRUS, V1

Source code of our visual analytics system for the interpretation of hidden states in recurrent neural networks. This project contains source code for preprocessing data and the visual analytics system. Additionally, we added precomputed data for immediate use in the visual analysis system. The sub directories contain the following: dataPreparation...

hiddenStatesVis.zip

Sep 10, 2021 - Visual Analytics System for Hidden States in Recurrent Neural Networks

ZIP Archive - 26.7 MB -

Source code of our approach.

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.

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