Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 11, issue 8
Articles | Volume 11, issue 8
https://doi.org/10.5194/gmd-11-3409-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-3409-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 8
Methods for assessment of models
 | 
22 Aug 2018
Methods for assessment of models |  | 22 Aug 2018

Simulation of the performance and scalability of message passing interface (MPI) communications of atmospheric models running on exascale supercomputers

Yongjun Zheng and Philippe Marguinaud

Viewed

Total article views: 3,787 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,483 1,205 99 3,787 108 107
  • HTML: 2,483
  • PDF: 1,205
  • XML: 99
  • Total: 3,787
  • BibTeX: 108
  • EndNote: 107
Views and downloads (calculated since 22 Jan 2018)
Cumulative views and downloads (calculated since 22 Jan 2018)

Viewed (geographical distribution)

Total article views: 3,787 (including HTML, PDF, and XML) Thereof 3,531 with geography defined and 256 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (preprint)

Latest update: 29 Jun 2024
Download
Short summary
The impacts of collective algorithms, interconnect topologies, and routing algorithms on the performance and scalability of transpositions, halo exchanges, and allreduce operations are significant. The performance of communications can be improved when the congestion is mitigated by a proper configuration of the topology and a congestion-balanced routing algorithm. The scalability of the spectral models could be acceptable for exascale supercomputers.
Read more