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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 8
Geosci. Model Dev., 10, 2891-2904, 2017
https://doi.org/10.5194/gmd-10-2891-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 10, 2891-2904, 2017
https://doi.org/10.5194/gmd-10-2891-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

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 et al.
Model code and software

Accelerating the Global Nested Air Quality Prediction Modeling System (GNAQPMS) model on Intel Xeon Phi processors H. Wang, H. Chen, Q. Wu, J. Lin, X. Chen, X. Xie, R., Wang, X. Tang, and Z. Wang https://doi.org/10.5281/zenodo.290203

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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.
We introduced some methods to port our Global Nested Air Quality Prediction Modeling System...
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