Enhancing Data-Driven Workflows for Complex Simulations

Explore the enhancement of data-driven workflows for complex simulations in this comprehensive webinar. Delve into the growing use of data-driven methods in engineering and scientific applications, focusing on extracting information from data to improve decision-making. Learn about the challenges of I/O operations in large simulations and discover strategies for analyzing data during runtime. Examine the Dynamic Mode Decomposition (DMD) workflow and its enhancements, including data compression techniques and in situ visualization strategies. Investigate the application of streaming DMD using Paraview Catalyst scripts and address the challenge of working with snapshots of varying dimensions from adaptive mesh refinement simulations. Gain insights into performing DMD on fully coupled PDE systems with compartmental structures and understand its implications for predictive behavior in complex simulations.

DDPS | Enhancing data-driven workflows for complex simulations by Alvaro Coutinho