Institute for Parallel and Distributed Systems

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301 to 310 of 1,066 Results

README.md Jul 1, 2023 - Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE Markdown Text - 4.8 KB - MD5: f5c46b519720bc0a931c1370a2340017
Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique Jun 27, 2023 - Scientific Computing Pollinger, Theresa, 2023, "Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique", https://doi.org/10.18419/DARUS-3393, DaRUS, V1 We ran different fractions of the combination technique scenario described in the publication, also widely-distributed between the two machines SuperMUC-NG (file suffix `_ng`) and Hawk (file suffix `_hawk`). The dataset contains input files to generate the scenarios on the respective HPC system (labelled "input"), and the resulting output files, me...
ArtifactDescription.pdf Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique Adobe PDF - 282.5 KB - MD5: 96165741f21917f32564db6fcc3e7667
create_weak_combischemes_out.txt Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique Plain Text - 10.3 KB - MD5: 131adb2a957a58ceb468b89ac88a0aeb input
create_weak_combischemes.sh Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique Shell Script - 1.4 KB - MD5: c2fff04c1043a9c5642ada4dce5950cc preprocessingscript
Install on SuperMUC-NG.md Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique Markdown Text - 891 B - MD5: a0e4f2588cddced4dd2878a0c344943c readme
Postprocessing.md Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique Markdown Text - 1.6 KB - MD5: bc92c0e119030716db6a9c4e6a5d1523 postprocessing
scalingplot_from_folders.py Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique Python Source Code - 2.1 KB - MD5: 28dbcfc8503520d687f3b13ed661466f postprocessing
scalingplot.tex Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique LaTeX - 3.6 KB - MD5: 9b0e1319721ad49c79698f8dd56bf863 postprocessing
weak_asymmetric_2_hawk.tar Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique TAR Archive - 136.4 MB - MD5: a4cdecf74b14a7d192ca33970e04fa52 output

README.md

Jul 1, 2023 - Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE

Markdown Text - 4.8 KB -

Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique

Jun 27, 2023 - Scientific Computing

Pollinger, Theresa, 2023, "Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique", https://doi.org/10.18419/DARUS-3393, DaRUS, V1

We ran different fractions of the combination technique scenario described in the publication, also widely-distributed between the two machines SuperMUC-NG (file suffix `_ng`) and Hawk (file suffix `_hawk`). The dataset contains input files to generate the scenarios on the respective HPC system (labelled "input"), and the resulting output files, me...

ArtifactDescription.pdf

Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique

Adobe PDF - 282.5 KB -

create_weak_combischemes_out.txt

Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique

Plain Text - 10.3 KB -

input

create_weak_combischemes.sh

Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique

Shell Script - 1.4 KB -

preprocessingscript

Install on SuperMUC-NG.md