Performance and results of the high-resolution biogeochemical model PELAGOS025 v1.0 within NEMO v3.4

Epicoco, Italo; Mocavero, Silvia; Macchia, Francesca; Vichi, Marcello; Lovato, Tomas; Masina, Simona; Aloisio, Giovanni

doi:https://doi.org/10.5194/gmd-9-2115-2016

Articles | Volume 9, issue 6

Geosci. Model Dev., 9, 2115–2128, 2016

https://doi.org/10.5194/gmd-9-2115-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Nucleus for European Modelling of the Ocean - NEMO

Geosci. Model Dev., 9, 2115–2128, 2016

https://doi.org/10.5194/gmd-9-2115-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 6

Development and technical paper 10 Jun 2016

Development and technical paper | 10 Jun 2016

Performance and results of the high-resolution biogeochemical model PELAGOS025 v1.0 within NEMO v3.4

Italo Epicoco et al.

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Final revised paper (published on 10 Jun 2016)
Preprint (discussion started on 16 Dec 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

SC C3398: 'Executive Editor Comment on "Performance and results of the high-resolution biogeochemical model PELAGOS025 within NEMO"', Astrid Kerkweg, 18 Dec 2015
- AC C3522: 'Paper title', Italo Epicoco, 30 Dec 2015
RC C4016: 'Review', Gethin Williams, 15 Feb 2016
- AC C4230: 'Reply to first review', Italo Epicoco, 15 Mar 2016
RC C4128: 'Review of Performance and results of the high-resolution biogeochemical model PELAGOS025 within NEMO', Andrew Porter, 07 Mar 2016
- AC C4333: 'Reply to review', Italo Epicoco, 01 Apr 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Italo Epicoco on behalf of the Authors (01 Apr 2016) Author's response Manuscript

ED: Publish as is (10 May 2016) by Andy Ridgwell

Short summary

The present work aims at evaluating the scalability performance of a high-resolution global ocean biogeochemistry model (PELAGOS025) on massive parallel architectures and the benefits in terms of the time-to-solution reduction. The outcome of the analysis demonstrated that the lack of scalability is due to several factors such as the I/O operations, the memory contention, and the load unbalancing due to the memory structure of the biogeochemistry model component.