Scalability of Global 0.25° Ocean Simulations Using MOM - Environmental Software Systems. Infrastructures, Services and Applications Access content directly
Conference Papers Year : 2015

Scalability of Global 0.25° Ocean Simulations Using MOM

Marshall Ward
  • Function : Author
  • PersonId : 983331
Yuanyuan Zhang
  • Function : Author
  • PersonId : 983332

Abstract

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.
Fichier principal
Vignette du fichier
978-3-319-15994-2_55_Chapter.pdf (4 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01328605 , version 1 (08-06-2016)

Licence

Attribution

Identifiers

Cite

Marshall Ward, Yuanyuan Zhang. Scalability of Global 0.25° Ocean Simulations Using MOM. 11th International Symposium on Environmental Software Systems (ISESS), Mar 2015, Melbourne, Australia. pp.542-551, ⟨10.1007/978-3-319-15994-2_55⟩. ⟨hal-01328605⟩
32 View
75 Download

Altmetric

Share

Gmail Facebook X LinkedIn More