With Ann Almgren from Lawrence Berkeley National Laboratory
Relevant conference themes: CSE applications; CSE software; High-performance computing; Multiscale, mutiphysics, and multilevel methods
Abstract: Many of the most interesting physical phenomena occur across a range of space and time scales, and include multiple physical processes. To truly predict wind energy, for example, we would need to be able to understand and model the mechanisms that create the varying winds at global scale all the way down to the boundary layer flow on a wind turbine blade. Of course we can’t resolve every scale in a single calculation, but in this GAG we will explore different ways of computing across scales and coupling diverse processes.
Ann Almgren, Lawrence Berkeley National Laboratory
she/her/hers, https://ccse.lbl.gov/people/almgren/index.html
Biography: Ann Almgren is a Senior Scientist and the Department Head of the Applied Mathematics Department in Berkeley Lab’s Applied Mathematics and Computational Research (AMCR) Division. Her primary research interest is in computational algorithms for solving partial differential equations (PDEs) in a variety of application areas. Her current projects include the development and implementation of new multiphysics algorithms in high-resolution adaptive mesh codes that are designed for the latest multicore architectures. She was the Deputy Director of the ECP AMReX Co-Design Center, is a SIAM Fellow, and serves on the editorial boards of CAMCoS, IJHPCA and Phil Trans A. In 2023 she was awarded the LBNL Director’s Award for Exceptional Scientific Achievement. Prior to coming to LBL she worked at the Institute for Advanced Study in Princeton, NJ, and at Lawrence Livermore National Lab.
Motivation: I love being a GAG leader! It has been incredibly rewarding the times I’ve done it before.