Abstract
We present performance improvements on parallel hydrology algorithms in TauDEM suite that allowed us to process the 10m USGS 3DEP topographic dataset (667GB, 180 billion raster cells) by adopting a block-wise data decomposition feature and maximazing the disk parallelism.
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APA
Yildirim, A. A., Tarboton, D., Liu, Y., Sazib, N. S., & Wang, S. (2016). Accelerating TauDEM for extracting hydrology information from national-scale high resolution topographic dataset. In ACM International Conference Proceeding Series (Vol. 17-21-July-2016). Association for Computing Machinery. https://doi.org/10.1145/2949550.2949582
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