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Part 1: Document Description
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Citation |
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Title: |
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 |
Identification Number: |
doi:10.18419/darus-3393 |
Distributor: |
DaRUS |
Date of Distribution: |
2023-06-27 |
Version: |
1 |
Bibliographic Citation: |
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 |
Citation |
|
Title: |
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 |
Identification Number: |
doi:10.18419/darus-3393 |
Authoring Entity: |
Pollinger, Theresa (Universität Stuttgart) |
Grant Number: |
42247 |
Grant Number: |
pn36xu |
Distributor: |
DaRUS |
Access Authority: |
Pollinger, Theresa |
Access Authority: |
Dirk Pflüger |
Depositor: |
Pollinger, Theresa |
Date of Deposit: |
2023-03-31 |
Holdings Information: |
https://doi.org/10.18419/darus-3393 |
Study Scope |
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Keywords: |
Computer and Information Science, Mathematical Sciences, Physics, Coupling HPC Systems, Combination Technique, Multi-Level Methods, Higher-Dimensional Simulation, Plasma Turbulence, UFTP |
Topic Classification: |
Distributed Algorithms, Massively Parallel Algorithms, Massively Parallel and High-Performance Simulations, Multiscale Systems |
Abstract: |
<p>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`).</p> <p>The dataset contains input files to generate the scenarios on the respective HPC system (labelled "input"), and the resulting output files, measurements, and timing postprocessing data (labelled "output"). </p> <p>The respective parts were bundled as tarballs, unpack them to see the (many) individual files. The dataset's base folder contains further instructions on the individual steps to obtain these results. <br/> In particular, confer to `<a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=239465">ArtifactDescription.pdf</a>`.</p> |
Notes: |
Paper to be published in "Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis". |
Methodology and Processing |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique (submitted) |
Bibliographic Citation: |
Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique (submitted) |
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ArtifactDescription.pdf |
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application/pdf |
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create_weak_combischemes.sh |
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application/x-sh |
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Install on SuperMUC-NG.md |
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text/markdown |
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Postprocessing.md |
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text/markdown |
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scalingplot.tex |
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application/x-tex |
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scalingplot_from_folders.py |
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text/x-python |
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create_weak_combischemes_out.txt |
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text/plain |
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weak_inputs_hawk.tar |
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application/x-tar |
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weak_inputs_ng.tar |
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application/x-tar |
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weak_asymmetric_2_hawk.tar |
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application/x-tar |
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weak_asymmetric_2_ng.tar |
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application/x-tar |
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weak_asymmetric_6_hawk.tar |
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application/x-tar |
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weak_asymmetric_6_ng.tar |
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application/x-tar |
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weak_fair_1_hawk.tar |
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application/x-tar |
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weak_fair_1_ng.tar |
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application/x-tar |
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weak_fair_2_hawk.tar |
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application/x-tar |
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weak_fair_2_ng.tar |
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application/x-tar |
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weak_fair_4_hawk.tar |
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application/x-tar |
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weak_fair_4_ng.tar |
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application/x-tar |
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weak_full_1_hawk.tar |
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application/x-tar |
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weak_full_1_ng.tar |
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application/x-tar |
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weak_full_2_hawk.tar |
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application/x-tar |
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weak_full_2_ng.tar |
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weak_full_4_hawk.tar |
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weak_full_4_ng.tar |
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application/x-tar |
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weak_full_8_hawk.tar |
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application/x-tar |
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weak_full_8_ng.tar |
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application/x-tar |
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weak_symmetric_1_hawk.tar |
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application/x-tar |
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weak_symmetric_1_ng.tar |
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application/x-tar |
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weak_symmetric_2_hawk.tar |
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application/x-tar |
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weak_symmetric_2_ng.tar |
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application/x-tar |
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weak_symmetric_4_hawk.tar |
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application/x-tar |
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weak_symmetric_4_ng.tar |
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application/x-tar |