Abstract
The optimization of linear solver parameters in unsteady multiphase groundflow modelling is considered. Two strategies of dynamic parameters setting for the linear solver are proposed when the linear systems properties are modified during simulation in the INMOST framework. It is shown that the considered algorithms for dynamic selection of linear solver parameters provide a more efficient solution than any prescribed set of parameters. The results of numerical experiments on the INM RAS cluster are presented.
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Acknowledgements
This work has been supported in part by RFBR grant 17-01-00886, Russian Federation President Grant MK-2951.2017.1, and ExxonMobil Upstream Research Company.
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Bagaev, D., Konshin, I., Nikitin, K. (2017). Dynamic Optimization of Linear Solver Parameters in Mathematical Modelling of Unsteady Processes. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2017. Communications in Computer and Information Science, vol 793. Springer, Cham. https://doi.org/10.1007/978-3-319-71255-0_5
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DOI: https://doi.org/10.1007/978-3-319-71255-0_5
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