Contribution to a conference proceedings/Contribution to a book

FZJ-2021-03894

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Twelve Ways to Fool the Masses When Giving Parallel-in-Time Results

Götschel, S. ; Minion, M. (Corresponding author) ; Ruprecht, D. ; Speck, R.FZJ*

2021
Springer International Publishing Cham
ISBN: 978-3-030-75932-2 (print), 978-3-030-75933-9 (electronic)

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Please use a persistent id in citations: http://hdl.handle.net/2128/28801  doi:10.1007/978-3-030-75933-9_4

Abstract: Getting good speedup—let alone high parallel efficiency—for parallel-in-time (PinT) integration examples can be frustratingly difficult. The high complexity and large number of parameters in PinT methods can easily (and unintentionally) lead to numerical experiments that overestimate the algorithm’s performance. In the tradition of Bailey’s article “Twelve ways to fool the masses when giving performance results on parallel computers”, we discuss and demonstrate pitfalls to avoid when evaluating the performance of PinT methods. Despite being written in a light-hearted tone, this paper is intended to raise awareness that there are many ways to unintentionally fool yourself and others and that by avoiding these fallacies more meaningful PinT performance results can be obtained.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) (POF4-511)
2. DFG project 450829162 - Raum-Zeit-parallele Simulation multimodale Energiesystemen (450829162) (450829162)

Appears in the scientific report 2021

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Database coverage:

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