001     901886
005     20230310131336.0
020 _ _ |a 978-3-030-75932-2 (print)
020 _ _ |a 978-3-030-75933-9 (electronic)
024 7 _ |a 10.1007/978-3-030-75933-9_4
|2 doi
024 7 _ |a 2128/28801
|2 Handle
024 7 _ |a WOS:000696174000004
|2 WOS
037 _ _ |a FZJ-2021-03894
041 _ _ |a English
100 1 _ |a Götschel, Sebastian
|0 P:(DE-HGF)0
|b 0
111 2 _ |a 9th Workshop on Parallel-in-Time Integration
|g PinT9
|c online
|d 2020-06-08 - 2020-06-12
|w online
245 _ _ |a Twelve Ways to Fool the Masses When Giving Parallel-in-Time Results
260 _ _ |a Cham
|c 2021
|b Springer International Publishing
295 1 0 |a Parallel-in-Time Integration Methods
300 _ _ |a 81 - 94
336 7 _ |a CONFERENCE_PAPER
|2 ORCID
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
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336 7 _ |a conferenceObject
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336 7 _ |a Output Types/Conference Paper
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336 7 _ |a Contribution to a conference proceedings
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336 7 _ |a Contribution to a book
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490 0 _ |a Springer Proceedings in Mathematics & Statistics
|v 356
520 _ _ |a 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.
536 _ _ |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5112
|c POF4-511
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|f POF IV
536 _ _ |a DFG project 450829162 - Raum-Zeit-parallele Simulation multimodale Energiesystemen (450829162)
|0 G:(GEPRIS)450829162
|c 450829162
|x 1
588 _ _ |a Dataset connected to CrossRef Book Series, Journals: juser.fz-juelich.de
700 1 _ |a Minion, Michael
|0 P:(DE-HGF)0
|b 1
|e Corresponding author
700 1 _ |a Ruprecht, Daniel
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Speck, Robert
|0 P:(DE-Juel1)132268
|b 3
773 _ _ |a 10.1007/978-3-030-75933-9_4
856 4 _ |u https://juser.fz-juelich.de/record/901886/files/12_ways_new.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:901886
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910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)132268
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
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|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5112
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914 1 _ |y 2021
915 _ _ |a OpenAccess
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920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
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980 _ _ |a contrib
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a contb
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 1 _ |a FullTexts


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