Recent & Upcoming Talks
2021
Modeling in Subsurface Geophysics: Mathematics, Computation, and Machine Learning
Understanding the structure of Earth’s subsurface is critical in many science, engineering, and business domains, from earthquake …
A Linear Algebraic Framework for Distributed Deep Learning
Training deep neural networks (DNNs) in large-cluster computing environments is increasingly necessary, as networks grow in size and …
A Linear-algebraic Approach to Distributed Deep Learning
Training deep neural networks (DNNs) in large-cluster computing environments is increasingly necessary, as networks grow in size and …
2019
Evolution of a Scalable 3D Helmholtz Solver with Geophysical Applications
While it is theoretically and computationally advantageous to pose the inverse problem of subsurface recovery in the frequency domain, …
L-sweeps: A scalable parallel high-frequency Helmholtz solver
We present the first fast solver for the high-frequency Helmholtz equation that scales optimally in parallel, for a single right-hand …
Fast and Scalable Solvers for High-frequency Wave Propagation
In this talk, I will review recent progress on fast solvers for the high-frequency Helmholtz equation. The problem is harder than in …
