Systems | Information | Learning | Optimization
 

Breaking computational barriers: using data to enable extreme-scale simulations for uncertainty quantification and design

As physics-based simulation has played an increasingly important role in science and engineering, greater demands are being placed on model fidelity. This high fidelity necessitates fine spatiotemporal resolution, which can lead to extreme-scale models whose simulations consume months on thousands of computing cores. Further, most practical decision-making scenarios (e.g., uncertainty …