Distinguished Seminar Series in Computational Science and Engineering
May 11, 2023, 12 PM
Remote Event
Zoom Webinar: Registration Link
Advanced Simulation and Computing at Stanford University
Gianluca Iaccarino
Stanford University
Abstract
Jet engines, scramjets, rockets, and solar energy receivers have been the focus of a sequence of computational projects at Stanford University. Featuring a combination of computer science and multi-physics turbulence simulations, the research is funded by Department of Energy. within the Advanced Simulation and Computing (ASC) Program. A common theme of the applications above is the coupled nature of the physical processes involving turbulent transport, combustion, radiation, compressible fluid mechanics, multiphase flow phenomena, etc. The research portfolio includes the development of the engineering models and software tools required for the simulations of the overarching applications, and also innovations in high performance computing and machine learning aimed at enhancing simulation speed. To build confidence and improve the prediction accuracy of such simulations, the impact of uncertainties on the quantities of interest must also be measured. Multifidelity uncertainty quantification methods use hierarchies of generalized numerical resolutions and model fidelities to obtain accurate quantitative estimates of the prediction accuracy without requiring many detailed calculations. This talk will trace back the history of the four projects at Stanford and how the initial efforts targeting demonstrations on the fastest supercomputer in 2000 (ASCI White) have evolved to enable the present ensemble simulations on today’s exascale class machines (Frontier and Aurora).
Advanced Simulation and Computing at Stanford University
Gianluca Iaccarino
Stanford University