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

Fingerprint

Topography
Processing

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

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

Advancing analysis of high resolution topography using distributed hpc resources in opentopography. / Nandigam, Viswanath; Crosby, Christopher; Arrowsmith, Ramon; Phan, Minh; Lin, Kai; Gross, Benjamin.

PEARC 2017 - Practice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact. Vol. Part F128771 Association for Computing Machinery, 2017. a19.

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

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, 2017 Practice and Experience in Advanced Research Computing, PEARC 2017, New Orleans, United States, 7/9/17. https://doi.org/10.1145/3093338.3093345
Nandigam V, Crosby C, Arrowsmith R, Phan M, Lin K, Gross B. 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. Association for Computing Machinery. 2017. a19 https://doi.org/10.1145/3093338.3093345
Nandigam, Viswanath ; Crosby, Christopher ; Arrowsmith, Ramon ; Phan, Minh ; Lin, Kai ; Gross, Benjamin. / Advancing analysis of high resolution topography using distributed hpc resources in opentopography. PEARC 2017 - Practice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact. Vol. Part F128771 Association for Computing Machinery, 2017.
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