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Past Events

A Machine Learning Approach to Analysis of Daily Vocal Function and Vocal Behavior of Individuals with Phonotraumatic Vocal Hyperfunction

Wednesday, September 25, 2024 4:00pm to 5:00pm

University of Iowa

In-person (WJSHC 210) and via Zoom (https://uiowa.zoom.us/j/92047907158?pwd=35J1P4oAYnVfabrLo7xdtBFhrX22GC.1 )

Title:

A Machine Learning Approach to Analysis of Daily Vocal Function and Vocal Behavior of Individuals with Phonotraumatic Vocal Hyperfunction

Abstract:

Voice disorders affect approximately 8% of U.S. adults at a given point in time, with a lifetime prevalence of approximately 30% for adults. Many voice disorders are considered behavioral in nature and are associated with vocal...

Multigrid Methods in Space and Time for Extreme-scale Scientific Computing

Saturday, September 7, 2024 10:15am to 11:00am

MacLean Hall

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...

Computational Math and Science Research at LLNL

Friday, September 6, 2024 4:30pm to 5:20pm

MacLean Hall

Speaker: Dr. Rob Falgout, Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL)

Math Colloquium - Speaker: Dr. Rob Falgout, Lawrence Livermore National Lab

Thursday, September 5, 2024 3:30pm to 4:20pm

MacLean Hall

Title: Parallel-in-Time Solution of Systems of Linear and Nonlinear Hyperbolic PDEs

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 demonstrated the effectiveness of a...