Embedding Python for In-Situ Analysis
Sandia National Laboratories (SNL), Albuquerque, NM (United States). New Mexico Small Business Assistance (NMSBA) Program, NM (United States), Timothy Shead, Sandia National Laboratories, Livermore, CA (United States), Aditya Konduri, Hemanth Kolla, Daniel Dunlavy, W. Philip Kegelmeyer, Warren Davis · 2018
We describe our work to embed a Python interpreter in S3D, a highly scalable parallel direct numerical simulation reacting flow solver written in Fortran. Although S3D had no in-situ capability when we began, embedding the interpreter was surprisingly easy, and the result is an extremely flexible platform for conducting machine-learning experiments in-situ.