GNAQPMS v1.1: accelerating the Global Nested Air Quality Prediction Modeling System (GNAQPMS) on Intel Xeon Phi processors

Wang, Hui; Chen, Huansheng; Wu, Qizhong; Lin, Junmin; Chen, Xueshun; Xie, Xinwei; Wang, Rongrong; Tang, Xiao; Wang, Zifa

doi:https://doi.org/10.5194/gmd-10-2891-2017

Articles | Volume 10, issue 8

https://doi.org/10.5194/gmd-10-2891-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-10-2891-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 8

Development and technical paper

|

01 Aug 2017

Development and technical paper |

| 01 Aug 2017

GNAQPMS v1.1: accelerating the Global Nested Air Quality Prediction Modeling System (GNAQPMS) on Intel Xeon Phi processors

Hui Wang, Huansheng Chen, Qizhong Wu, Junmin Lin, Xueshun Chen, Xinwei Xie, Rongrong Wang, Xiao Tang, and Zifa Wang

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Final revised paper (published on 01 Aug 2017)
Supplement to the final revised paper
Preprint (discussion started on 22 Feb 2017)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

SC1: 'Executive Editor Comment on "Accelerating the Global Nested Air Quality Prediction Modeling System (GNAQPMS) model on Intel Xeon Phi processors"', Astrid Kerkweg, 24 Feb 2017
- SC2: 'Model name and version number', Hui Wang, 04 Mar 2017
RC1: 'review of "Accelerating GNAQPMS on Intel Xeon Phi processors"', Anonymous Referee #1, 20 Mar 2017
- AC2: 'Response to anoymous referee #1', Zifa Wang, 18 May 2017
RC2: 'Review of gmd-2016-307', Anonymous Referee #2, 25 Mar 2017
- AC1: 'Response to anoymous referee #2', Zifa Wang, 18 May 2017

Peer-review completion

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

AR by Zifa Wang on behalf of the Authors (15 Jun 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (23 Jun 2017) by Paul Ullrich

ED: Publish as is (06 Jul 2017) by Paul Ullrich

AR by Zifa Wang on behalf of the Authors (07 Jul 2017)

Short summary

We introduced some methods to port our Global Nested Air Quality Prediction Modeling System (GNAQPMS) model on Intel Knight Landing (KNL). In this paper, we introduced both common and specific methods to accelerate out model better. With the guidance of the resources material on Intel Websites (http://www.intel.com/content/www/us/en/products/processors/xeon-phi.html) and relative books, this paper could be an example for the model developers to take advantage of KNL for their model.