The AMReX Software Framework for Extreme Scale Modeling and Simulation

ABSTRACT
The AMReX software framework was recently developed under the U.S. Department of Energy's Exascale Computing Project. This portable, scalable open-source framework allows researchers access to data structures and algorithms to rapidly deploy structured adaptive mesh and particle-mesh algorithms on GPU-based supercomputers. The framework can also incorporate external numerical software libraries, including python-coupling which is useful for data-driven/machine-learning workflows. I will provide an overview of this framework and discuss AMReX-based applications I am working on in the field of fluid mechanics for energy applications and electromagnetism for microelectronic device design.

BIOGRAPHY
Andy Nonaka is a Staff Scientist and Group Lead of the Center for Computational Sciences and Engineering at Lawrence Berkeley Lab. His research focuses on high-performance implementations of multiphysics and multiscale algorithms of interest to the U.S. Department of Energy. He has worked on problems in many scientific domains including complex rheological and multiphase flows, mesoscale fluids, astrophysics, combustion, and electromagnetism. In his spare time, he enjoys swimming, skiing, golf, classical piano, and activities with his kids.
Computer &