Scalability of Global 0.25° Ocean Simulations Using MOM

  • Marshall Ward
  • Yuanyuan Zhang
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 448)


We investigate the scalability of global 0.25° resolution ocean-sea ice simulations using the Modular Ocean Model (MOM). We focus on two major platforms, hosted at the National Computational Infrastructure (NCI) National Facility: an x86-based PRIMERGY cluster with InfiniBand interconnects, and a SPARC-based FX10 system using the Tofu interconnect. We show that such models produce efficient, scalable results on both platforms up to 960 CPUs. Speeds are notably faster on Raijin when either hyperthreading or fewer cores per node are used. We also show that the ocean submodel scales up to 1920 CPUs with negligible loss of efficiency, but the sea ice and coupler components quickly become inefficient and represent substantial bottlenecks in future scalability. Our results show that both platforms offer sufficient performance for future scientific research, and highlight to the challenges for future scalability and optimization.


ocean modeling performance profiling high performance computing parallel computing 


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Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Marshall Ward
    • 1
  • Yuanyuan Zhang
    • 2
  1. 1.National Computational InfrastructureCanberraAustralia
  2. 2.Fujitsu Australia LimitedCanberraAustralia

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