%0 Conference Paper
%A Götschel, Sebastian
%A Minion, Michael
%A Ruprecht, Daniel
%A Speck, Robert
%T Twelve Ways to Fool the Masses When Giving Parallel-in-Time Results
%V 356
%C Cham
%I Springer International Publishing
%M FZJ-2021-03894
%@ 978-3-030-75932-2 (print)
%B Springer Proceedings in Mathematics & Statistics
%P 81 - 94
%D 2021
%< Parallel-in-Time Integration Methods
%X 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.
%B 9th Workshop on Parallel-in-Time Integration
%C 8 Jun 2020 - 12 Jun 2020, online (online)
Y2 8 Jun 2020 - 12 Jun 2020
M2 online, online
%F PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
%9 Contribution to a conference proceedingsContribution to a book
%U <Go to ISI:>//WOS:000696174000004
%R 10.1007/978-3-030-75933-9_4
%U https://juser.fz-juelich.de/record/901886