Accelerating TauDEM as a scalable hydrological terrain analysis service on XSEDE

Ye Fan; Yan Liu; Shaowen Wang; David Tarboton; Ahmet Yildirim; Nancy Wilkins-Diehr

doi:10.1145/2616498.2616510

Accelerating TauDEM as a scalable hydrological terrain analysis service on XSEDE

Ye Fan, Yan Liu, Shaowen Wang, David Tarboton, Ahmet Yildirim, Nancy Wilkins-Diehr

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

6 Scopus citations

Abstract

In this paper, we present the experience of scaling a parallel hydrological analysis software-TauDEM-to thousands of processors and large elevation datasets through XSEDE ECSS effort and multi-institutional collaboration.

Original language	English
Title of host publication	Proceedings of the XSEDE 2014 Conference
Subtitle of host publication	Engaging Communities
Publisher	Association for Computing Machinery
ISBN (Print)	9781450328937
DOIs	https://doi.org/10.1145/2616498.2616510
State	Published - 2014
Externally published	Yes
Event	2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014 - Atlanta, GA, United States Duration: Jul 13 2014 → Jul 18 2014

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014
Country/Territory	United States
City	Atlanta, GA
Period	07/13/14 → 07/18/14

Keywords

Hydrological analysis
Parallel computing
Scalability

Access to Document

10.1145/2616498.2616510

Cite this

@inproceedings{3b52905c6c714344888cb881020f6d1a,

title = "Accelerating TauDEM as a scalable hydrological terrain analysis service on XSEDE",

abstract = "In this paper, we present the experience of scaling a parallel hydrological analysis software-TauDEM-to thousands of processors and large elevation datasets through XSEDE ECSS effort and multi-institutional collaboration.",

keywords = "Hydrological analysis, Parallel computing, Scalability",

author = "Ye Fan and Yan Liu and Shaowen Wang and David Tarboton and Ahmet Yildirim and Nancy Wilkins-Diehr",

year = "2014",

doi = "10.1145/2616498.2616510",

language = "English",

isbn = "9781450328937",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

booktitle = "Proceedings of the XSEDE 2014 Conference",

note = "2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014 ; Conference date: 13-07-2014 Through 18-07-2014",

}

Fan, Y, Liu, Y, Wang, S, Tarboton, D, Yildirim, A & Wilkins-Diehr, N 2014, Accelerating TauDEM as a scalable hydrological terrain analysis service on XSEDE. in Proceedings of the XSEDE 2014 Conference: Engaging Communities., 5, ACM International Conference Proceeding Series, Association for Computing Machinery, 2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014, Atlanta, GA, United States, 07/13/14. https://doi.org/10.1145/2616498.2616510

Accelerating TauDEM as a scalable hydrological terrain analysis service on XSEDE. / Fan, Ye; Liu, Yan; Wang, Shaowen et al.
Proceedings of the XSEDE 2014 Conference: Engaging Communities. Association for Computing Machinery, 2014. 5 (ACM International Conference Proceeding Series).

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

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T1 - Accelerating TauDEM as a scalable hydrological terrain analysis service on XSEDE

AU - Fan, Ye

AU - Liu, Yan

AU - Wang, Shaowen

AU - Tarboton, David

AU - Yildirim, Ahmet

AU - Wilkins-Diehr, Nancy

PY - 2014

Y1 - 2014

N2 - In this paper, we present the experience of scaling a parallel hydrological analysis software-TauDEM-to thousands of processors and large elevation datasets through XSEDE ECSS effort and multi-institutional collaboration.

AB - In this paper, we present the experience of scaling a parallel hydrological analysis software-TauDEM-to thousands of processors and large elevation datasets through XSEDE ECSS effort and multi-institutional collaboration.

KW - Hydrological analysis

KW - Parallel computing

KW - Scalability

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U2 - 10.1145/2616498.2616510

DO - 10.1145/2616498.2616510

M3 - Conference contribution

AN - SCOPUS:84905497174

SN - 9781450328937

T3 - ACM International Conference Proceeding Series

BT - Proceedings of the XSEDE 2014 Conference

PB - Association for Computing Machinery

T2 - 2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014

Y2 - 13 July 2014 through 18 July 2014

ER -

Accelerating TauDEM as a scalable hydrological terrain analysis service on XSEDE

Abstract

Publication series

Conference

Keywords

Access to Document

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