Data-parallel lower-upper relaxation method for the Navier-Stokes equations

DOI10.2514/3.13242zbMath0902.76084OpenAlexW2082122667MaRDI QIDQ4395927

Graham V. Candler, M. J. Wright, Marco Prampolini

Publication date: 16 December 1998

Published in: AIAA Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2514/3.13242

zbMATH Keywords

convergence ratediagonal approximationThinking Machines CM-5massively parallel computersfull matrix method

Mathematics Subject Classification ID

Related Items (13)

A multi-block viscous flow solver based on GPU parallel methodology ⋮ The momentum interpolation method based on the time-marching algorithm for all-speed flows ⋮ Time-implicit gas-kinetic scheme ⋮ Implicit multigrid schemes for challenging aerodynamic simulations on block-structured grids ⋮ An efficient and robust implicit operator for upwind point Gauss-Seidel method ⋮ Acceleration of the data-parallel lower-upper relaxation time-integration method on GPU for an unstructured CFD solver ⋮ A Newton-Krylov method with an approximate analytical Jacobian for implicit solution of Navier-Stokes equations on staggered overset-curvilinear grids with immersed boundaries ⋮ Direct numerical simulation of high-speed transition due to roughness elements ⋮ Assessment of implicit operators for the upwind point Gauss-Seidel method on unstructured meshes ⋮ A spectral radius scaling semi-implicit iterative time stepping method for reactive flow simulations with detailed chemistry ⋮ A fully discrete, kinetic energy consistent finite volume scheme for compressible flows ⋮ Observations of hypervelocity boundary-layer instability ⋮ Short Communication: A Parallel Newton–Krylov Method for Navier–Stokes Rotorcraft Codes

This page was built for publication: Data-parallel lower-upper relaxation method for the Navier-Stokes equations