Lecture Content：

Parallel-in-Time (PinT) computing is a research direction originating from Europe and the United States in the past 30 years. The technical integration of related algorithms with existing algorithms (such as mixed precision algorithms, Krylov subspace acceleration, multigrid, domain decomposition, etc.) can greatly improve the overall solution speed of complex dynamical systems, leading to extensive research and widespread applications in the field of scientific and engineering computing. The practical application value in acceleration is the core factor driving the continuous development of PinT research. In this report, we mainly introduce how PinT algorithms can be technically integrated with existing excellent algorithms.

Speaker Introduction:

Wu Shulin is currently a Professor and Ph.D. Supervisor at Northeast Normal University. He has been engaged in research on parallel-in-time computing for nearly 20 years. He was invited by Academician Yvon Maday of the French Academy of Sciences (2018) and Professor Pascal Hubert, Director of the French International Center for Mathematical Research (2022), to deliver plenary invited talks at academic conferences on parallel-in-time computing. He was invited as a corresponding author to write a review paper on parallel-in-time computing for *Acta Numerica*. His research work has been supported by the Sichuan Provincial Distinguished Youth Fund and the National Natural Science Foundation of China, and he has received titles such as Young Talent of the China Association for Science and Technology and National Young Top-notch Talent.