47th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition 2009
DOI: 10.2514/6.2009-606
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Scalable Parallel Newton-Krylov Solvers for Discontinuous Galerkin Discretizations

Abstract: We present techniques for implicit solution of discontinuous Galerkin discretizations of the Navier-Stokes equations on parallel computers. While a block-Jacobi method is simple and straight-forward to parallelize, its convergence properties are poor except for simple problems. Therefore, we consider Newton-GMRES methods preconditioned with block-incomplete LU factorizations, with optimized element orderings based on a minimum discarded fill (MDF) approach. We discuss the difficulties with the parallelization … Show more

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Cited by 23 publications
(23 citation statements)
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References 19 publications
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“…Note, the iteration count is largely independent of the size of the subdomain, the interpolation order, and the choice of constraints. Thus, in the advection limit, a partitioning strategy based on capturing the strong characteristics, such as those used in [39,40], is expected to improve the performance of the preconditioner. However, these strategies are sequential in nature and tend to increase the communication volume, especially in three dimensions.…”
Section: Advection-diffusion Equation: Isotropic Meshmentioning
confidence: 99%
See 1 more Smart Citation
“…Note, the iteration count is largely independent of the size of the subdomain, the interpolation order, and the choice of constraints. Thus, in the advection limit, a partitioning strategy based on capturing the strong characteristics, such as those used in [39,40], is expected to improve the performance of the preconditioner. However, these strategies are sequential in nature and tend to increase the communication volume, especially in three dimensions.…”
Section: Advection-diffusion Equation: Isotropic Meshmentioning
confidence: 99%
“…The degradation in the preconditioner performance suggests the partitioning strategy that considers the direction of characteristics and minimizes the number of times a characteristic enters different subdomains, e.g. strategies considered in [39,40], may be more important for unstructured meshes.…”
Section: Advection-diffusion Equation: Unstructured Meshesmentioning
confidence: 99%
“…For the high-fidelity simulations, we use the 3DG code [37,38,39,40,41,42], which implements a high-order accurate discontinuous Galerkin method to solve the compressible Navier-Stokes equations on unstructured meshes of tetrahedra. Although the flow is nearly incompressible, the use of a compressible flow formulation has the advantage of providing high-order accuracy in time with regular ODE time integrators.…”
Section: Discontinuous Galerkin Arbitrary Lagrangian-eulerian (Ale) Nmentioning
confidence: 99%
“…It is clear that parallel computers are needed, both for storing these matrices and to perform the computations. The parallel 3DG code [40] is based on the MPI interface, and runs on parallel computer clusters. The domain is decomposed using the METIS software [51] and the discretization and matrix assembly is done in parallel.…”
Section: Parallel Newton-krylov Solversmentioning
confidence: 99%
“…The resulting discretizations from the space-time DG method are higher-dimensional and fully implicit, and we solve the resulting nonlinear systems of equations using efficient parallel NewtonKrylov solvers [45,46]. We generate high-quality moving meshes using the DistMesh algorithm [47], and construct the space-time elements for each layer of timesteps using a local construction.…”
Section: Introductionmentioning
confidence: 99%