Seminars

Stabilized Compact Exponential Time Differencing Methods for Gradient Flow Problems and Scalable Implementation

Author:鞠立力    Publicsh date:2017-07-20    Clicks:
报告人:鞠立力 (University of South Carolina)题目: Stabilized Compact Exponential Time Differencing Methods for Gradient Flow Problems and Scalable Implementation时间:2017年7月21日16:00 – 17:00地点:华中科技大学恩明楼813摘要: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 ...

报告人:鞠立力 (University of South Carolina)

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

时间:20177211600 – 1700

地点:华中科技大学恩明楼813

摘要:

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 splittings, 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