报告题目：Stabilized Compact Exponential Time Differencing Methods for Gradient Flow Problems and Scalable Implementation

报告人：Professor Lili Ju, University of South Carolina, USA

时间：2017年10月12日下午13:30-14:30

地点：山东大学知新楼B1032

Abstract: In this talk, we will present stabilized compact exponential time differencing methods (ETD) for  numerical solutions of a family of gradient flow problems, which have wide applications in materials science, fluid dynamics and biological researches. These problems often form a special class of parabolic equations of different orders with high nonlinearity and stiffness, thus are often very hard to solve efficiently and robustly over large space and time scales. The proposed methods achieve efficiency, accuracy and provable energy stability under large time stepping by combining linear operator splitting, compact discretizations of spatial operators, exponential time integrators, multistep or Runge-Kutta approximations and fast Fourier transform. We will also discuss the corresponding localized ETD methods based on domain decomposition, which are highly scalable and therefore very  suitable for parallel computing. Various numerical experiments are carried out to demonstrate superior performance of the proposed methods, including extreme scale phase field simulations of coarsening  dynamics on the Sunway TaihuLight supercomputer.

数学学院

山东大学