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IberWQ: A GPU Accelerated Tool for 2D Water Quality Modeling in Rivers and Estuaries
Numerical models are useful tools to analyze water quality by computing the concentration of physical, chemical and biological parameters. The present work introduces a two-dimensional depth-averaged model that computes the most relevant and frequent parameters used to evaluate water quality. High performance computing (HPC) techniques based on graphic processing unit (GPU) parallelization have been applied to improve the efficiency of the package, providing speed-ups of two orders of magnitudedoi:10.3390/w12020413 fatcat:sqh2oaaglndzfoyu2izcxpflvy