Master’s Thesis Presentation • Scientific Computation — Fast and Scalable Solvers for the Fluid Pressure Equations with Separating Solid Boundary ConditionsExport this event to calendar

Friday, April 30, 2021 — 9:00 AM EDT

Please note: This master’s thesis presentation will be given online.

Junyu Lai, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Justin Wan

We propose and evaluate fast, scalable approaches for solving the linear complementarity problems (LCP) arising from the fluid pressure equations with separating solid boundary conditions. Specifically, we present a policy iteration method, a penalty method, and a modified multigrid method, and demonstrate that each is able to properly handle the desired boundary conditions. Moreover, we compare our proposed methods against existing approaches and show that our solvers are more efficient and exhibit better scaling behavior; that is, the number of iterations required for convergence is essentially independent of grid resolution, and thus they are faster at larger grid resolutions. For example, on a 256^3 grid our multigrid method was 30 times faster than the prior multigrid method in the literature.


To join this master’s thesis presentation on WebEx, please go to https://uwaterloo.webex.com/uwaterloo/j.php?MTID=ma1ff3348ff088047ce1373d5af9bfc57.

Location 
Online presentation
200 University Avenue West

Waterloo, ON N2L 3G1
Canada
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