SC22 Proceedings

The International Conference for High Performance Computing, Networking, Storage, and Analysis

Doctoral Showcase Archive

Scalable Adaptive Finite Element Framework for Multiphysics Simulations

Author: Kumar Saurabh (Iowa State University)

Advisor: Baskar Ganapathysubramanian (Iowa State University), Adarsh Krishnamurthy (Iowa State University)

Abstract: Efficiently and accurately simulating partial differential equations (PDEs) in and around arbitrarily defined geometries, especially with high levels of adaptivity, has significant implications for different application domains. In this work, we develop a fast construction of a ‘good’ adaptively-refined incomplete octree based mesh capable of carving out arbitrarily shaped void regions from the parent domain: an essential requirement for fluid simulations around complex objects. Further, we integrate the mesh generation with Petsc to solve several multiphysics and multiphase phenomena. We showcase the applicability of the algorithms to solve the large scale problems. The algorithms developed have enabled us to run the most resolved jet atomization simulations and demonstrated scaling till O(100K) processors on TACC Frontera.

Thesis Canvas: pdf

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