Accelerating TauDEM for extracting hydrology information from national-scale high resolution topographic dataset

Ahmet Artu Yildirim; David Tarboton; Yan Liu; Nazmus Shams Sazib; Shaowen Wang

doi:10.1145/2949550.2949582

Accelerating TauDEM for extracting hydrology information from national-scale high resolution topographic dataset

Ahmet Artu Yildirim, David Tarboton, Yan Liu, Nazmus Shams Sazib, Shaowen Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Proceedings of XSEDE 2016
Subtitle of host publication	Diversity, Big Data, and Science at Scale
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450347556
DOIs	https://doi.org/10.1145/2949550.2949582
State	Published - Jul 17 2016
Event	Conference on Diversity, Big Data, and Science at Scale, XSEDE 2016 - Miami, United States Duration: Jul 17 2016 → Jul 21 2016

Publication series

Name	ACM International Conference Proceeding Series
Volume	17-21-July-2016

Other

Other	Conference on Diversity, Big Data, and Science at Scale, XSEDE 2016
Country/Territory	United States
City	Miami
Period	7/17/16 → 7/21/16

Keywords

HPC
Parallel pitremove algorithm
TauDEM

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Online availability

10.1145/2949550.2949582

Library availability

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Cite this

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 Proceedings of XSEDE 2016: Diversity, Big Data, and Science at Scale [a3] (ACM International Conference Proceeding Series; Vol. 17-21-July-2016). Association for Computing Machinery. https://doi.org/10.1145/2949550.2949582

Accelerating TauDEM for extracting hydrology information from national-scale high resolution topographic dataset. / Yildirim, Ahmet Artu; Tarboton, David; Liu, Yan et al.

Proceedings of XSEDE 2016: Diversity, Big Data, and Science at Scale. Association for Computing Machinery, 2016. a3 (ACM International Conference Proceeding Series; Vol. 17-21-July-2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yildirim, AA, Tarboton, D, Liu, Y, Sazib, NS & Wang, S 2016, Accelerating TauDEM for extracting hydrology information from national-scale high resolution topographic dataset. in Proceedings of XSEDE 2016: Diversity, Big Data, and Science at Scale., a3, ACM International Conference Proceeding Series, vol. 17-21-July-2016, Association for Computing Machinery, Conference on Diversity, Big Data, and Science at Scale, XSEDE 2016, Miami, United States, 7/17/16. https://doi.org/10.1145/2949550.2949582

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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",

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Accelerating TauDEM for extracting hydrology information from national-scale high resolution topographic dataset

Abstract

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Other

Keywords

ASJC Scopus subject areas

Online availability

Library availability

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