Advancing analysis of high resolution topography using distributed hpc resources in opentopography

Viswanath Nandigam, Christopher Crosby, Ramon Arrowsmith, Minh Phan, Kai Lin, Benjamin Gross

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The OpenTopography science gateway provides effcient online access to high resolution topographic data and processing tools for a broad spectrum of research communities. We have integrated XSEDE HPC resources into the OpenTopography processing work-flow to meet the growing demand for more complex and resource intensive algorithms from the wider community.

Original languageEnglish (US)
Title of host publicationPEARC 2017 - Practice and Experience in Advanced Research Computing 2017
Subtitle of host publicationSustainability, Success and Impact
PublisherAssociation for Computing Machinery
VolumePart F128771
ISBN (Electronic)9781450352727
DOIs
StatePublished - Jul 9 2017
Event2017 Practice and Experience in Advanced Research Computing, PEARC 2017 - New Orleans, United States
Duration: Jul 9 2017Jul 13 2017

Other

Other2017 Practice and Experience in Advanced Research Computing, PEARC 2017
CountryUnited States
CityNew Orleans
Period7/9/177/13/17

Keywords

  • Data
  • HPC
  • Lidar
  • Science gateway
  • Software
  • Topography

ASJC Scopus subject areas

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

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  • Cite this

    Nandigam, V., Crosby, C., Arrowsmith, R., Phan, M., Lin, K., & Gross, B. (2017). Advancing analysis of high resolution topography using distributed hpc resources in opentopography. In PEARC 2017 - Practice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact (Vol. Part F128771). [a19] Association for Computing Machinery. https://doi.org/10.1145/3093338.3093345