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Prof. Shu-Lin WU
School of Mathematics and Statistics
Northeast Normal University
Changchun, Jilin, China


The mainstream parallel-in-time (PinT) algorithms, such as parareal and MGRiT, cannot efficiently handle the wave propagation problems, due to the poor convergence rate (or even divergence). New PinT algorithms are proposed in recent years and have shown promising advantages. These new PinT algorithms are called ParaDiag, which was permitted in 2020 by the PinT scientific committee to show and popularize on the homepage of this filed (http://parallel-in-time.org/codes/paradiag.html). In this talk we will discuss some variants and introduce some basic theoretical results.


Prof. Shulin WU obtained his Ph.D. degree in Huazhong University of Science and Technology in 2010. From 2010 to 2016, he did post-doctoral research at University of Electronic Science and Technology of China, University Of Geneva and The Hong Kong Polytechnic University. His research interests are Parallel-in-Time algorithms, waveform relaxation, numerical analysis of DLCP/DNCP problems and numerical wave propagation. Prof. Wu Shulin works as a Professor at Northeast Normal University now, published more than 30 papers on many international famous SCI journals of computing, such as J. Comp. Phys., J. Sci. Comp., SIAM J. Control and Optimization.


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