07-23, 17:25–17:35 (US/Eastern), Elm B
The ExaSGD (Optimizing Stochastic Grid Dynamics at Exascale) application is part of the Department of Energy's Exascale project (ECP). The dawn of renewable energies poses a great challenge to long-term planning with higher uncertainties, not only in the grid load, but also in the energy generation. The goal of this project is to provide policy planners and grid operators with cost effective long term planning solutions that are protected against uncertainties in the grid operation. This talk gives an overview of our implementation and where we leverage Julia's unique capabilities to make efficient use of the upcoming exascale hardware, while giving engineers a flexible modeling language.
Michel Schanen is an assistant computational engineer at the mathematics and computer science division (MCS) at the Argonne National Laboratory. He received his PhD in adjoints by automatic differentiation of the message passing interface. At a postdoctoral researcher he worked on large-scale adjoint checkpointing on the supercomputers at Argonne. He now works on large-scale mathematical optimization frameworks with applications in power systems.