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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/gmd-2018-334
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2018-334
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development and technical paper 27 Mar 2019

Development and technical paper | 27 Mar 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

Scalability and some optimization of the Finite-volumE Sea ice-Ocean Model, Version 2.0 (FESOM2)

Nikolay V. Koldunov1,2, Vadym Aizinger2,3, Natalja Rakowsky2, Patrick Scholz2, Dmitry Sidorenko2, Sergey Danilov2,4, and Thomas Jung2 Nikolay V. Koldunov et al.
  • 1MARUM – Center for Marine Environmental Sciences, Leobener Str. 8, 28359 Bremen, Germany
  • 2Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Am Handelshafen 12, 27570 Bremerhaven, Germany
  • 3Friedrich-Alexander University of Erlangen-Nürnberg, Department of Mathematics, Cauerstr. 11, 91058 Erlangen, Germany
  • 4Jacobs University, Campus Ring 1, 28759 Bremen, Germany

Abstract. A study of the scalability of the Finite-volumE Sea ice-Ocean circulation Model, Version 2.0 (FESOM2), the first mature global model of its kind formulated on unstructured meshes, is presented. This study includes an analysis of main computational kernels with a special focus on bottlenecks in parallel scalability. Several model enhancements, improving this scalability for large numbers of processes, are described and tested. Model grids at different resolutions are used on four HPC systems with differing computation and communication hardware to demonstrate model's scalability and throughput. Furthermore, strategies for improvements in parallel performance are presented and assessed. We show that in terms of throughput FESOM2.0 is on par with the state-of-the-art structured ocean models and in realistic eddy resolving configuration (1/10° resolution) can produce about 16 years per day on 14 000 cores. This suggests that unstructured-mesh models are becoming extremely competitive tools in high-resolution climate modelling. It is shown that main bottlenecks of FESOM parallel scalability are the two-dimensional components of the model, namely the computations of external (barotropic) mode and the sea-ice model. It is argued that these bottlenecks are shared with other general ocean circulation models.

Nikolay V. Koldunov et al.
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Nikolay V. Koldunov et al.
Data sets

FESOM2 scaling experiments N. Koldunov, V. Aizinger, N. Rakowsky, P. Scholz, D. Sidorenko, S. Danilov, and T. Jung https://doi.org/10.5281/zenodo.2428847

Model code and software

FESOM/fesom2: 2.0.3 scaling paper release S. Danilov, D. Sidorenko, P. Scholz, Q. Wang, O. Gurses, N. Rakowsky, M. Smolentseva, N. Koldunov, J. Streffing, T. Rackow, V. Aizinger, D. Sein, and T. Jung https://doi.org/10.5281/zenodo.2428364

Nikolay V. Koldunov et al.
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Latest update: 21 Apr 2019
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Short summary
We measure how computational performance of global FESOM2 ocean model (formulated on unstructured mesh) changes with the increase of the number of computational cores. We find that for many components of the model the performance increase linearly, but identify two bottlenecks - sea ice and ssh submodules. We show that FESOM2 is on par with the state of the art ocean models in terms of throughput, that reach 16 simulated years per day on eddy resolving configuration (1/10 degree).
We measure how computational performance of global FESOM2 ocean model (formulated on...
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