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 (doi:10.18419/darus-3393)

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Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

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

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

Study Description

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

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

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

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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weak_asymmetric_2_hawk.tar

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weak_asymmetric_2_ng.tar

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weak_asymmetric_6_hawk.tar

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weak_asymmetric_6_ng.tar

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weak_fair_1_hawk.tar

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weak_fair_1_ng.tar

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weak_fair_2_hawk.tar

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weak_fair_2_ng.tar

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weak_fair_4_hawk.tar

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weak_fair_4_ng.tar

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weak_full_1_hawk.tar

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weak_full_1_ng.tar

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weak_full_2_hawk.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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weak_full_8_hawk.tar

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weak_full_8_ng.tar

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weak_symmetric_1_hawk.tar

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weak_symmetric_1_ng.tar

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weak_symmetric_2_hawk.tar

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weak_symmetric_2_ng.tar

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weak_symmetric_4_hawk.tar

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weak_symmetric_4_ng.tar

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