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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 7, issue 5 | Copyright
Geosci. Model Dev., 7, 2531-2543, 2014
https://doi.org/10.5194/gmd-7-2531-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 29 Oct 2014

Development and technical paper | 29 Oct 2014

Implementation and scaling of the fully coupled Terrestrial Systems Modeling Platform (TerrSysMP v1.0) in a massively parallel supercomputing environment – a case study on JUQUEEN (IBM Blue Gene/Q)

F. Gasper1,2, K. Goergen2,3,4, P. Shrestha3, M. Sulis3, J. Rihani3, M. Geimer4, and S. Kollet1,2 F. Gasper et al.
  • 1Agrosphere (IBG-3), Forschungszentrum Jülich GmbH, Jülich, Germany
  • 2Centre for High-Performance Scientific Computing in Terrestrial Systems (HPSC TerrSys), ABC/J Geoverbund, Jülich, Germany
  • 3Meteorological Institute, University of Bonn, Bonn, Germany
  • 4Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Jülich, Germany

Abstract. Continental-scale hyper-resolution simulations constitute a grand challenge in characterizing nonlinear feedbacks of states and fluxes of the coupled water, energy, and biogeochemical cycles of terrestrial systems. Tackling this challenge requires advanced coupling and supercomputing technologies for earth system models that are discussed in this study, utilizing the example of the implementation of the newly developed Terrestrial Systems Modeling Platform (TerrSysMP v1.0) on JUQUEEN (IBM Blue Gene/Q) of the Jülich Supercomputing Centre, Germany. The applied coupling strategies rely on the Multiple Program Multiple Data (MPMD) paradigm using the OASIS suite of external couplers, and require memory and load balancing considerations in the exchange of the coupling fields between different component models and the allocation of computational resources, respectively. Using the advanced profiling and tracing tool Scalasca to determine an optimum load balancing leads to a 19% speedup. In massively parallel supercomputer environments, the coupler OASIS-MCT is recommended, which resolves memory limitations that may be significant in case of very large computational domains and exchange fields as they occur in these specific test cases and in many applications in terrestrial research. However, model I/O and initialization in the petascale range still require major attention, as they constitute true big data challenges in light of future exascale computing resources. Based on a factor-two speedup due to compiler optimizations, a refactored coupling interface using OASIS-MCT and an optimum load balancing, the problem size in a weak scaling study can be increased by a factor of 64 from 512 to 32 768 processes while maintaining parallel efficiencies above 80% for the component models.

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