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GroMoPo Metadata for Apuae basin GPGPU model

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Created: Feb 08, 2023 at 2:55 a.m.
Last updated: Apr 21, 2023 at 12:52 a.m.
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The application of computer simulation models plays a significant role in the understanding of water dynamics in basins. The recent and explosive growth of the processing capabilities of General-Purpose Graphics Processing Units (GPGPUs) has resulted in widespread interest in parallel computing from the modelling community. In this paper, we present a GPGPU implementation of finite-differences solution of the equations of the 2D groundwater flow in unconfined aquifers for heterogeneous and anisotropic media. We show that the GPGPU-accelerated solution implemented using CUDA(1) C/C++ largely outperforms the corresponding serial solution in C/Cthornthorn. The results show that the GPGPU-accelerated implementation is capable of providing up to a 56-fold speedup in the solution using an ordinary office computer equipped with an inexpensive GPU(2) card. The code developed for this research is available for download and use at (C) 2017 Elsevier Ltd. All rights reserved.
Note: Bounding box set based on locaiton of Brazil generally since exact location unknown.

Subject Keywords



Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
North Latitude
East Longitude
South Latitude
West Longitude


Additional Metadata

Name Value
DOI 10.1016/j.envsoft.2017.12.004
Depth 230
Scale 1 001 - 10 000 km²
Purpose Scientific investigation (not related to applied problem)
GroMoPo_ID 144
IsVerified True
Model Code Bespoke
Model Link
Model Time
Model Year 2018
Model Authors T Carlotto, R.V. da Silva, J.M.V. Grzybowski
Model Country Brazil
Data Available Report/paper only
Developer Email
Dominant Geology Unsure
Developer Country Brazil
Publication Title A GPGPU-accelerated implementation of groundwater flow model in unconfined aquifers for heterogeneous and anisotropic media
Original Developer No
Additional Information The objective is to show that such a study can be straightforwardly conducted by means of the CUDAâ„¢ C/C++ implementation presented in this paper.
Integration or Coupling
Evaluation or Calibration
Geologic Data Availability

How to Cite

GroMoPo, S. Ruzzante (2023). GroMoPo Metadata for Apuae basin GPGPU model, HydroShare,

This resource is shared under the Creative Commons Attribution CC BY.


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