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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 8, issue 9
Geosci. Model Dev., 8, 2815-2827, 2015
https://doi.org/10.5194/gmd-8-2815-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 8, 2815-2827, 2015
https://doi.org/10.5194/gmd-8-2815-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 09 Sep 2015

Development and technical paper | 09 Sep 2015

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

S. Xu et al.
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
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 Robert Marsh
RR by David Webb (01 Jul 2015)
ED: Reconsider after major revisions (02 Jul 2015) by Robert 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 Robert Marsh
RR by David Webb (17 Aug 2015)
ED: Publish as is (19 Aug 2015) by Robert Marsh
AR by Xiaomeng Huang on behalf of the Authors (25 Aug 2015)  Author's response    Manuscript
Publications Copernicus
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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.
In this paper, we redesign the mpiPOM with GPUs. Specifically, we first convert the model from...
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