@inproceedings{fbceb07994b24bc18bdc6f108796be8b,
title = "Accelerating TauDEM for extracting hydrology information from national-scale high resolution topographic dataset",
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.",
keywords = "HPC, Parallel pitremove algorithm, TauDEM",
author = "Yildirim, {Ahmet Artu} and David Tarboton and Yan Liu and Sazib, {Nazmus Shams} and Shaowen Wang",
note = "Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; Conference on Diversity, Big Data, and Science at Scale, XSEDE 2016 ; Conference date: 17-07-2016 Through 21-07-2016",
year = "2016",
month = jul,
day = "17",
doi = "10.1145/2949550.2949582",
language = "English (US)",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
booktitle = "Proceedings of XSEDE 2016",
address = "United States",
}