Abstract
In this paper we combine the Parareal parallel-in-time method together with spatial parallelization and investigate this space-time parallel scheme by means of solving the three-dimensional incompressible Navier-Stokes equations. Parallelization of time stepping provides a new direction of parallelization and allows to employ additional cores to further speed up simulations after spatial parallelization has saturated. We report on numerical experiments performed on a Cray XE6, simulating a driven cavity flow with and without obstacles. Distributed memory parallelization is used in both space and time, featuring up to 2,048 cores in total. It is confirmed that the space-time-parallel method can provide speedup beyond the saturation of the spatial parallelization.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chorin, A.J.: Numerical solution of the Navier Stokes equations. Math. Comput. 22(104), 745–762 (1968)
Croce, R., Engel, M., Griebel, M., Klitz, M.: NaSt3DGP – a Parallel 3D Flow Solver. http://wissrech.ins.uni-bonn.de/research/projects/NaSt3DGP/index.htm
Emmett, M., Minion, M.L.: Toward an efficient parallel in time method for partial differential equations. Commun. Appl. Math. Comput. Sci. 7, 105–132 (2012)
Farhat, C., Chandesris, M.: Time-decomposed parallel time-integrators: theory and feasibility studies for fluid, structure, and fluid-structure applications. Int. J. Numer. Methods Eng. 58, 1397–1434 (2005)
Fischer, P.F., Hecht, F., Maday, Y.: A parareal in time semi-implicit approximation of the Navier-Stokes equations. In: Kornhuber, R., et al. (eds.) Domain Decomposition Methods in Science and Engineering. LNCSE, vol. 40, pp. 433–440. Springer, Berlin (2005)
Gander, M.J., Vandewalle, S.: Analysis of the parareal time-parallel time-integration method. SIAM J. Sci. Comput. 29(2), 556–578 (2007)
Gaskell, P., Lau, A.: Curvature-compensated convective transport: SMART a new boundedness-preserving transport algorithm. Int. J. Numer. Methods Fluids 8, 617–641 (1988)
Griebel, M., Dornseifer, T., Neunhoeffer, T.: Numerical Simulation in Fluid Dynamics, a Practical Introduction. SIAM, Philadelphia (1998)
Leonard, B.: A stable and accurate convective modelling procedure based on quadratic upstream interpolation. Comput. Methods Appl. Mech. Eng. 19, 59–98 (1979)
Lions, J.L., Maday, Y., Turinici, G.: A “parareal” in time discretization of PDE’s. C. R. Acad. Sci. – Ser. I – Math. 332, 661–668 (2001)
Minion, M.L.: A hybrid parareal spectral deferred corrections method. Commun. Appl. Math. Comput. Sci. 5(2), 265–301 (2010)
Ruprecht, D., Krause, R.: Explicit parallel-in-time integration of a linear acoustic-advection system. Comput. Fluids 59, 72–83 (2012)
Temam, R.: Sur l’approximation de la solution des equations de Navier-Stokes par la méthode des pas fractionnaires II. Arch. Ration. Mech. Anal. 33, 377–385 (1969)
Trindade, J.M.F., Pereira, J.C.F.: Parallel-in-time simulation of the unsteady Navier-Stokes equations for incompressible flow. Int. J. Numer. Methods. Fluids 45, 1123–1136 (2004)
Trindade, J.M.F., Pereira, J.C.F.: Parallel-in-time simulation of two-dimensional, unsteady, incompressible laminar flows. Numer. Heat Trans., Part B 50, 25–40 (2006)
van der Vorst, H.: Bi-CGStab: a fast and smoothly converging variant of Bi-CG for the solution of nonsymmetric linear systems. SIAM J. Sci. Stat. Comput. 13, 631 (1992)
Acknowledgements
This research is funded by the Swiss “High Performance and High Productivity Computing” initiative HP2C. Computational resources were provided by the Swiss National Supercomputing Centre CSCS.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Croce, R., Ruprecht, D., Krause, R. (2014). Parallel-in-Space-and-Time Simulation of the Three-Dimensional, Unsteady Navier-Stokes Equations for Incompressible Flow. In: Bock, H., Hoang, X., Rannacher, R., Schlöder, J. (eds) Modeling, Simulation and Optimization of Complex Processes - HPSC 2012. Springer, Cham. https://doi.org/10.1007/978-3-319-09063-4_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-09063-4_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09062-7
Online ISBN: 978-3-319-09063-4
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)