Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From ETH Zurich

This report analyzes the reproducibility of the article "Computing Planetary Interior Normal Modes with A Highly Parallel Polynomial Filtering Eigensolver" by Jia Shi et al. (Shi, 2018). To reproduce the results we perform different weak and strong scaling studies using a series of Mars mo...

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Vydáno v:IEEE transactions on parallel and distributed systems Ročník 32; číslo 11; s. 2627 - 2630
Hlavní autoři: Burger, Manuel, Kleine, Jan
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.11.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:1045-9219, 1558-2183
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Abstract This report analyzes the reproducibility of the article "Computing Planetary Interior Normal Modes with A Highly Parallel Polynomial Filtering Eigensolver" by Jia Shi et al. (Shi, 2018). To reproduce the results we perform different weak and strong scaling studies using a series of Mars models. All experimental runs were performed during the SC19 Student Cluster Competition on a four node Intel Skylake cluster. We show that the findings of the original article can be reproduced in a different environment.
AbstractList This report analyzes the reproducibility of the article "Computing Planetary Interior Normal Modes with A Highly Parallel Polynomial Filtering Eigensolver" by Jia Shi et al. (Shi, 2018). To reproduce the results we perform different weak and strong scaling studies using a series of Mars models. All experimental runs were performed during the SC19 Student Cluster Competition on a four node Intel Skylake cluster. We show that the findings of the original article can be reproduced in a different environment.
Author Burger, Manuel
Kleine, Jan
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Snippet This report analyzes the reproducibility of the article "Computing Planetary Interior Normal Modes with A Highly Parallel Polynomial Filtering Eigensolver" by...
This report analyzes the reproducibility of the article “Computing Planetary Interior Normal Modes with A Highly Parallel Polynomial Filtering Eigensolver” by...
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SubjectTerms Algorithms
Analytical models
Clusters
Data models
Data visualization
Filtering
Hardware
normal modes
Planetary interiors
Polynomials
Reproducibility
Runtime
Software
student cluster competition
Title Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From ETH Zurich
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