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 proceedingConference contribution

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 languageEnglish (US)
Title of host publicationProceedings of the XSEDE 2014 Conference
Subtitle of host publicationEngaging Communities
PublisherAssociation for Computing Machinery
ISBN (Print)9781450328937
DOIs
StatePublished - Jan 1 2014
Event2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014 - Atlanta, GA, United States
Duration: Jul 13 2014Jul 18 2014

Publication series

NameACM International Conference Proceeding Series

Other

Other2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014
CountryUnited States
CityAtlanta, GA
Period7/13/147/18/14

Keywords

  • Hydrological analysis
  • Parallel computing
  • Scalability

ASJC Scopus subject areas

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

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  • Cite this

    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. https://doi.org/10.1145/2616498.2616510