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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on parallel and distributed systems Jg. 32; H. 11; S. 2627 - 2630
Hauptverfasser: Burger, Manuel, Kleine, Jan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.11.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Analytical models
Clusters
Data models
Data visualization
Filtering
Hardware
normal modes
Planetary interiors
Polynomials
Reproducibility
Runtime
Software
student cluster competition
ISSN:1045-9219, 1558-2183
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1045-9219
1558-2183
DOI:10.1109/TPDS.2021.3050500