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Leveraging XSEDE HPC resources to address computational challenges with high-resolution topography data

Published: 13 July 2014 Publication History

Abstract

Leveraging service-oriented architectures and taking advantage of the high-performance compute resources provided by XSEDE, we have developed standards-based web services to address the challenges associated with processing large volumes of high resolution topography data. These web services make results from community software packages and other cyberinfrastructure-based applications available to the wider earth sciences community via the OpenTopography Facility and the CyberGIS Gateway.

References

[1]
Tesfa, T.K., Tarboton, D.G., Watson, D.W., Schreuders, K.A.T., Baker, M.E., Wallace, R.M., 2011. Extraction of hydrological proximity measures from DEMs using parallel processing. Environmental Modelling & Software 26(12) 1696--1709, http://dx.doi.org/10.1016/j.envsoft.2011.07.018.
[2]
Padmanabhan, A., Youn, C., Hwang, M., Liu, Y., Wang, S., Wilkins-Diehr, N., Crosby, C. 2013. Integration of Science Gateways: A Case Study with CyberGIS and OpenTopography, In Proceeding of XSEDE '13 Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery, ACM, 28p. DOI=10.1145/2484762.2484808

Cited By

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  • (2018)Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in Very High Spatial Resolution Aerial ImageryRemote Sensing10.3390/rs1009148710:9(1487)Online publication date: 18-Sep-2018
  • (2017)Advancing Analysis of High Resolution Topography Using Distributed HPC Resources in OpenTopographyPractice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact10.1145/3093338.3093345(1-3)Online publication date: 9-Jul-2017
  • (2017)A general-purpose framework for parallel processing of large-scale LiDAR dataInternational Journal of Digital Earth10.1080/17538947.2016.126984211:1(26-47)Online publication date: 6-Jan-2017
  • Show More Cited By

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Information

Published In

cover image ACM Other conferences
XSEDE '14: Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment
July 2014
445 pages
ISBN:9781450328937
DOI:10.1145/2616498
  • General Chair:
  • Scott Lathrop,
  • Program Chair:
  • Jay Alameda
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

  • NSF: National Science Foundation
  • Drexel University
  • Indiana University: Indiana University

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 July 2014

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Author Tags

  1. CyberGIS
  2. OGC WPS
  3. OpenTopography
  4. TauDEM
  5. web service

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  • Research-article
  • Research
  • Refereed limited

Conference

XSEDE '14

Acceptance Rates

XSEDE '14 Paper Acceptance Rate 80 of 120 submissions, 67%;
Overall Acceptance Rate 129 of 190 submissions, 68%

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Cited By

View all
  • (2018)Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in Very High Spatial Resolution Aerial ImageryRemote Sensing10.3390/rs1009148710:9(1487)Online publication date: 18-Sep-2018
  • (2017)Advancing Analysis of High Resolution Topography Using Distributed HPC Resources in OpenTopographyPractice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact10.1145/3093338.3093345(1-3)Online publication date: 9-Jul-2017
  • (2017)A general-purpose framework for parallel processing of large-scale LiDAR dataInternational Journal of Digital Earth10.1080/17538947.2016.126984211:1(26-47)Online publication date: 6-Jan-2017
  • (2016)Scaling GIS analysis tasks from the desktop to the cloud utilizing contemporary distributed computing and data management approachesProceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale10.1145/2949550.2949573(1-6)Online publication date: 17-Jul-2016

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