Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From National Tsing Hua University

As a special activity of the Student Cluster Competition at SC19 conference, we made an attempt to reproduce the scalability evaluations of a highly paralleled polynomial filtering eigensolver for computing planetary interior normal modes. Our experiments were conducted on a Mars dataset using a sma...

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Veröffentlicht in:	IEEE transactions on parallel and distributed systems Jg. 32; H. 11; S. 2623 - 2626
Hauptverfasser:	Sun, Wei-Fang, Chen, Hung-Hsin, Lin, Shao-Fu, Lin, Yuan-Ching, Wu, Jing-Wei, Lin, En-Te, Chou, Jerry
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.11.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Central processing units Clusters Computational modeling Computer architecture CPUs Datasets Eigenvalues and eigenfunctions Mars Mathematical model planetary interior normal modes Planetary interiors polynomial filtering eigensolver Polynomials Reproducibility Reproducible computation Scalability
ISSN:	1045-9219, 1558-2183
Online-Zugang:	Volltext
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