Scalable parallelization of the hybridized discontinuous Galerkin method for compressible flow

Abstract

A distributed and parallel implementation of a hybridized discontinuous Galerkin (HDG) solver for the compressible Navier-Stokes equations is presented. This implementation exploits the characteristics of the HDG method. First, the global degrees of freedom are reduced to the numerical trace of the solution on the element boundaries. Second, the conserved quantities and their gradients on each element are obtained in terms of the numerical trace on the element boundary. For meshes composed by a large numer of elements, the cost of the solver is dominated by the first stage, since the second stage scales linearly with the number of elements and it can be parallelized. To accelerate the first stage, we use a distributed GMRES solver with restart pre-conditioned with an algebraic additive Schwarz domain decomposition with l-levels of overlap (ASDD(l)). Each sub-domain problem is approximated by an incomplete LU factorization with k-levels of fill-in (ILU(k)). From the considered tests cases, we conclude that ASDD(1)/ILU(0) presents good weak scaling characteristics for studying the periodic vortex shedding around an airfoil at low Reynolds and low Mach number.

Publication
21st AIAA Computational Fluid Dynamics Conference
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Ngoc Cuong Nguyen
Ngoc Cuong Nguyen
Principal Research Scientist

My research interests include computational mechanics, molecular mechanics, nanophotonics, scientific computing, and machine learning.