Abstract
The SL-AV global semi-Lagrangian atmosphere model is applied to the operational medium-range weather forecast at Hydrometeorological center of Russia. The works on increasing the code scalability and using future computer architectures are described. The scalable parallel multigrid algorithm for solving the linear algebraic equations systems is implemented. It is expected that the multigrid algorithm will be used instead of direct algorithm based on fast Fourier transforms requiring global communications. The results for convergence and strong scalability of the multigrid method are given.
The parallel scalability of the low-resolution versions of the SL-AV model for both seasonal and climate simulation has been evaluated at computer systems based on Intel Xeon Phi 2 (Knights Landing) processors. The results show a practical possibility to use these processors for the global atmosphere modelling with the efficiency comparable to the classical cluster systems.
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Acknowledgements
This study was carried out at the Institute of Numerical Mathematics, Russian Academy of Sciences. The study presented in Sect. 2 was supported with the Russian Science Foundation grant No. 14-27-00126, the work described in Sect. 3 was supported with the Russian Academy of Sciences Program for Basic Researches I.33P.
The authors thank Joint Supercomputer Center RAS (Moscow), RSC Company for giving access to their computer resources.
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Tolstykh, M., Fadeev, R., Goyman, G., Shashkin, V. (2017). Further Development of the Parallel Program Complex of SL-AV Atmosphere Model. 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_23
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