Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 10
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

Viewed

Total article views: 3,221 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,138 957 126 3,221 109 170
  • HTML: 2,138
  • PDF: 957
  • XML: 126
  • Total: 3,221
  • BibTeX: 109
  • EndNote: 170
Views and downloads (calculated since 27 Jan 2021)
Cumulative views and downloads (calculated since 27 Jan 2021)

Viewed (geographical distribution)

Total article views: 3,221 (including HTML, PDF, and XML) Thereof 3,084 with geography defined and 137 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 18 May 2026
Download
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.
Read more
Share