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#delineation

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Avoid Backtracking And Burn Your Inputs - CONUS-Scale Watershed Delineation Using OpenMP
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doi.org/10.1016/j.envsoft.2024 <-- shared paper
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“HIGHLIGHTS
• A memory-efficient watershed delineation algorithm was introduced.
• The new algorithm uses a node-skipping depth-first search to save memory.
• Both input and output data are stored in a shared matrix to reduce required memory.
• It performed 95% faster than its CPU benchmark algorithm using 33% less memory.
• It can solve 50% larger problems than what the CPU benchmark algorithm can handle..."
#GIS #spatial #mapping #hydrology #water #code #algorithm #watershed #delineation #OpenMP #opensource #memory #efficient #CPU #benchmark #MESHED #model #modeling #largescale #catchments