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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Bibliographic Details
Published in:	IEEE transactions on parallel and distributed systems Vol. 32; no. 11; pp. 2623 - 2626
Main Authors:	Sun, Wei-Fang, Chen, Hung-Hsin, Lin, Shao-Fu, Lin, Yuan-Ching, Wu, Jing-Wei, Lin, En-Te, Chou, Jerry
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.11.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
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