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 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.

中文翻译：

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提供并行结果的十二种愚弄群众的方法

对于并行时间（PinT）集成示例，要获得良好的加速效果（更不用说高并行效率了），可能会非常困难。PinT方法中的高复杂度和大量参数可能会（无意间）导致数值实验，高估了算法的性能。在Bailey的文章“在并行计算机上给出性能结果时愚弄大众的十二种方法”的传统中，我们讨论并演示了在评估PinT方法的性能时应避免的陷阱。尽管写得轻松愉快，但本文旨在提高人们的认识，有许多方法可以无意地欺骗自己和他人，并且通过避免这些谬论，可以获得更有意义的PinT性能结果。