POM.gpu-v1.0: a GPU-based Princeton Ocean Model

Xu, S.; Huang, X.; Oey, L.-Y.; Xu, F.; Fu, H.; Zhang, Y.; Yang, G.

doi:https://doi.org/10.5194/gmd-8-2815-2015

Articles | Volume 8, issue 9

https://doi.org/10.5194/gmd-8-2815-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-8-2815-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 9

Development and technical paper

| Highlight paper

|

09 Sep 2015

Development and technical paper | Highlight paper |

| 09 Sep 2015

POM.gpu-v1.0: a GPU-based Princeton Ocean Model

S. Xu, X. Huang, L.-Y. Oey, F. Xu, H. Fu, Y. Zhang, and G. Yang

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Final revised paper (published on 09 Sep 2015)
Supplement to the final revised paper
Preprint (discussion started on 17 Nov 2014)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

SC C2775: 'Exec Editor Comments', Dan Lunt, 23 Dec 2014
- AC C2798: 'Reply to Dan Lunt', Xiaomeng Huang, 24 Dec 2014
RC C3656: 'Review', David Webb, 20 Apr 2015
- AC C3691: 'Reply to David Webb', Xiaomeng Huang, 03 May 2015
RC C3709: 'review', Anonymous Referee #2, 05 May 2015
- AC C3714: 'Reply to Referee #2', Xiaomeng Huang, 06 May 2015

Peer-review completion

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

AR by Xiaomeng Huang on behalf of the Authors (22 May 2015) Author's response Manuscript

ED: Referee Nomination & Report Request started (05 Jun 2015) by R. Marsh

RR by David Webb (01 Jul 2015)

ED: Reconsider after major revisions (02 Jul 2015) by R. Marsh

AR by Xiaomeng Huang on behalf of the Authors (10 Aug 2015) Author's response Manuscript

ED: Referee Nomination & Report Request started (11 Aug 2015) by R. Marsh

RR by David Webb (17 Aug 2015)

ED: Publish as is (19 Aug 2015) by R. Marsh

AR by Xiaomeng Huang on behalf of the Authors (25 Aug 2015) Author's response Manuscript

Short summary

In this paper, we redesign the mpiPOM with GPUs. Specifically, we first convert the model from its original Fortran form to a new CUDA-C version, POM.gpu-v1.0. Then we optimize the code on each of the GPUs, the communications between the GPUs, and the I/O between the GPUs and the CPUs. We show that the performance of the new model on a workstation containing 4 GPUs is comparable to that on a powerful cluster with 408 standard CPU cores, and it reduces the energy consumption by a factor of 6.8.