Skip to main content
NASA Advanced Supercomputing (NAS) Division World-class modeling, simulation, and supercomputing in support of the NASA mission

Massively Parallel Anisotropic Meshing Framework for CFD and Data Sciences

AMS Seminar Series

Speaker: Elie Hachem, Mines ParisTech

Presentation

Seminar Slide Deck (PDF-27.8MB)

Abstract

In this presentation, we will share our expertise in numerical developments built on a ground-breaking parallel adaptive anisotropic mesh refinement based on a posteriori error estimation for multiphysics challenging simulations. Indeed, the research group that I am leading and presenting made several strategic investments to increase the scalability and the automation of mesh operations within the simulation workflow. This is already essential to perform simulations on pre-Exascale supercomputers (hundreds of petaflops) and mandatory for future Exascale simulations. The research group has dedicated around 10 years of research to also develop immersed methodology that allows the automatic creation of highly complex simulation models from CAD-geometries and then to optimize and test the code on different supercomputers (local, national and European). During this visit, we will share all the details about these two unique characteristics, precisely the immersed methods and the parallel anisotropic meshing (mathematics, implementations, and tests).

Biography

Photo of Elie Hachem
Elie Hachem is currently a Professor of Fluid Mechanics and Applied Mathematics at Mines ParisTech in Paris, France and head of the Computing and Fluid (CFL) Research group. His research work concerns the development of advanced numerical methods that combine anisotropic mesh adaptation, immersed method and Variational Multiscale Method for the design and analysis of complex systems in mechanical, automotive and aeronautic engineering. In 2017, he became the holder of an industrial CHAIR named “Infinity” that gathers 12 French industrials on turbulent multiphase flow with phase change and boiling. In 2018, he developed a large academic partnership by creating MINDS: Mines Initiative for Numeric and Data Sciences, that gathers 15 research centers to accelerate the convergence of HPC and Data Sciences. He has received many professional and academic distinctions including: the IBM Faculty Award (2015), the Atos Jospeh-Fourier Award (2019) for the best team in high performance computing, and recently the IACM Fellow Award (2020) in computational mechanics.