Description: SimNet is Nvidia’s recently released framework for solving Physics Informed Machine Learning problems on Nvidia GPUs (https://developer.nvidia.com/simnet). We will give an introduction and overview of SimNet, what kinds of problems it can solve, what features it provides, and finally walkthrough one or more examples demonstrating how to setup, run, and post-process results from simulations on the HPC.

Presenter(s): Dr. Mathew Boyer, GDIT/PET
Location: Webcast
Date & Time: January 19, 2021, 2:00p - 3:30 ET

Prerequisites: A basic knowledge of Python programming and using NumPy libraries on the HPCs (See Introduction to Numerical Python (NumPy)). Attendees should have HPC access in order to use GPUs nodes. Knowledge of differential equations will be helpful for the course, but not required.

Distribution Statement D. Distribution authorized to the Department of Defense and U.S. DoD contractors only, Administrative or Operational Use, 19 January 2021.  Other requests for this document shall be referred to the High Performance Computing Modernization Office, 3909 Halls Ferry Road, Vicksburg, MS 39180.