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

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

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, Silvia Mocavero, Francesca Macchia, Marcello Vichi, Tomas Lovato, Simona Masina, and Giovanni Aloisio

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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

AR by Italo Epicoco on behalf of the Authors (18 May 2016)

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.