Seminars
Upcoming Seminars
A Data-Driven Framework for Flood Mitigation Using Transformers and Reinforcement Learning
Speaker: Shaoping Xiao, Department of Mechanical Engineering
Colloquium - A Hessian View of Fine-tuning, Task Attribution, and Reinforcement Learning: Three Vignettes in Modern Machine Learning
Past Seminars
Multigrid Methods in Space and Time for Extreme-scale Scientific Computing
Speaker: Dr. Rob Falgout, Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL)
Abstract: Multigrid methods play a key role in large-scale scientific simulation because they are among the fastest and most scalable approaches for solving systems of equations. They are widely used to solve the sparse spatial systems that arise in these simulations, and they have been shown to scale efficiently on today’s supercomputers. For time-dependent simulations...
Parallel-in-Time Solution of Systems of Linear and Nonlinear Hyperbolic PDEs
Speaker: Dr. Rob Falgout, Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL)
Abstract: The multigrid reduction in time (MGRIT) method is a parallel multigrid-in-time solver designed to be as non-intrusive as possible and take advantage of existing simulation codes and techniques. This has worked well for parabolic equations, but parallel-in-time methods for advection-dominated hyperbolic problems have proven difficult to develop. In previous work, we...
The application of implicit Runge-Kutta methods to various types of differential equations
Speaker: Laurent O. Jay, Dept. of Mathematics
Optimization and related problems
Speaker: David Stewart, Department of Mathematics
Advice for a Career in Academia
Speaker: Joe Eichholz, United States Air Force Academy