Low-Budget PDE Solver with Painting Applications

Series
Applied and Computational Mathematics Seminar
Time
Monday, April 11, 2016 - 2:05pm for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Byungmoon Kim – Adobe Research
Organizer
Yingjie Liu
This talk will tell the story on using simulation for painting. I will tell a few of projects that had simulation and painting involved. One is iPad-based ultra-low-cost real time simulation of old photography process to compute effects that modern day users may find interesting. The other is more full-blown fluid simulation for painting using highest-end GPU. Even with massive processing power of GPU, real time high fidelity painting simulation is hard since computation budget is limited. Basically we should deal with large errors. It may sound odd if someone says that very low-accuracy simulation is interesting - but this is very true. In particular, we tried to pull most pressure effect out from about 10 Jacobi iterations that we could afford. I would like to share my experience on improving fixed number of fixed point iterations.