GP-SWAT (v1.0): a two-level graph-based parallel simulation tool for the SWAT model

Zhang, Dejian; Lin, Bingqing; Wu, Jiefeng; Lin, Qiaoying

doi:https://doi.org/10.5194/gmd-14-5915-2021

Articles | Volume 14, issue 10

https://doi.org/10.5194/gmd-14-5915-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-14-5915-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 10

Development and technical paper

|

30 Sep 2021

Development and technical paper |

| 30 Sep 2021

GP-SWAT (v1.0): a two-level graph-based parallel simulation tool for the SWAT model

Dejian Zhang, Bingqing Lin, Jiefeng Wu, and Qiaoying Lin

Model code and software

A graph-parallel simulation tool for SWAT Dejian Zhang, Bingqing Lin, Jiefeng Wu, and Qiaoying Lin https://doi.org/10.5281/zenodo.4270676

Short summary

GP-SWAT is a two-layer model parallelization tool for a SWAT model based on the graph-parallel Pregel algorithm. It can be employed to perform both individual and iterative model parallelization, endowing it with a range of possible applications and great flexibility in maximizing performance. As a flexible and scalable tool, it can run in diverse environments, ranging from a commodity computer with a Microsoft Windows, Mac or Linux OS to a Spark cluster consisting of a large number of nodes.