Math Biology Seminar Abstracts

Wednesday September 17, 2003

Simulation Science: The Modeling of Real-World Problems

Mike Kirby

School of Computing, University of Utah

Abstract: The solution of real-world computational science and engineering problems requires a knowledge of the application domain, sufficient mathematical sophistication to numerically model the problem through simulation, a breadth of knowledge in high-performance computing techniques to solve the simulation on available hardware, and a familiarity with post-processing and visualization techniques for making sense of the torrent of data produced by your simulation. Simulation science is precisely this endeavor --- the synergy of many different areas so as to solve large real-world problems through computational simulation. In this talk, I will discuss my efforts at accomplishing simulation science. Specifically, I will discuss my work on the use of high-order numerical methods combined with high-performance computing for solving problems in computational fluid dynamics, computation mechanics and in fluid-structure interaction.

For more information contact J. Keener, 1-6089

E-mail: keener@math.utah.edu