A numerical investigation of matrix-free implicit time-stepping methods for large CFD simulations

Published in Computers & Fluids, 2017

This paper is concerned with development and testing of advanced time-stepping methods for large unsteady CFD problems in the method of lines approach, where the semi-discretization in space is performed first. The performance of several time discretization methods is studied numerically with regards to computational efficiency, order of accuracy, and stability, as well as the ability to effectively treat stiff problems. We consider matrix-free implementations, a popular approach for time-stepping methods applied to large CFD applications due to its adherence to scalable matrix-vector operations and a small memory footprint. We compare explicit methods with matrix-free implementations of implicit, linearly-implicit, as well as Rosenbrock–Krylov methods. We show that Rosenbrock–Krylov methods are competitive with existing techniques excelling for a number of problem types and settings.

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