DATE:

Friday, September 3, 2021

TIME:

3:30 PM

LOCATION:

Virtual Zoom Conference

SPEAKER:

Dr. Ann Almgren, Senior Scientist, Computational Research Division/ Applied Mathematics, Lawrence Berkeley National Lab

ABSTRACT:

Adaptive mesh refinement (AMR) is a technique we use as a numerical microscope to zoom in on areas of interest in a computer simulation. With more resolution we get more accurate answers and can see in more detail what is happening in the simulation. In this talk I will describe in general terms how AMR works and how we use it effectively on today’s supercomputers, and I will present examples from a wide range of applications.

Bio: Ann Almgren is a senior scientist in the Computational Research Division of Lawrence Berkeley National Laboratory and the Group Lead of the Center for Computational Sciences and Engineering. Her primary research interest is in computational algorithms for solving partial differential equations 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 hybrid architectures. She is a SIAM Fellow and the Deputy Director of the Exascale Computing Program’s AMReX Co-Design Center, serves on the editorial boards of CAMCoS and IJHPCA, and co-leads LBL’s Computing Sciences Area Mentoring Program.

Presenter Website

Department Link

HOST:

Jose Castillo

VIDEO: