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Code Optimization and Stabilization for a High-Resolution Terrain Generation Application

Authors:

Judith D. Gardiner,

Karen A. Tomko,

Myoung-Jong Noh,

Ian M. HowatAuthors Info & Claims

PEARC '18: Proceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity

Article No.: 82, Pages 1 - 3

https://doi.org/10.1145/3219104.3229241

Published: 22 July 2018 Publication History

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Abstract

Code improvements have been made to the Surface Extraction from TIN based Search-space Minimization (SETSM) software, used to produce digital elevation maps from satellite imagery. The improvements include increased code portability and stability, along with enhanced performance. The code has been made available on a public repository.

References

[1]

Noh, M. J., I.M. Howat, 2017. Surface Extraction from TIN based Search-space Minimization (SETSM) algorithm, International Society for Photogrammetry and Remote Sensing (ISPRS) Journal of Photogrammetry and Remote Sensing, Vol. 129, pp. 55--76.

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[2]

Morin, Paul. Mapping the Poles with Petascale, PEARC17 keynote talk.

Google Scholar

[3]

https://mjremotesensing.wordpress.com/setsm/

Google Scholar

[4]

https://github.com/setsmdeveloper/SETSM

Google Scholar

Index Terms

Code Optimization and Stabilization for a High-Resolution Terrain Generation Application
1. Applied computing
  1. Physical sciences and engineering
    1. Earth and atmospheric sciences
2. General and reference
  1. Cross-computing tools and techniques
    1. Performance

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Information

Published In

PEARC '18: Proceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity

July 2018

652 pages

ISBN:9781450364461

DOI:10.1145/3219104

General Chair:
Sergiu Sanielevici
Pittsburgh Supercomputing Center

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.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 July 2018

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Extended-abstract
Research
Refereed limited

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National Science Foundation
National Aeronautics and Space Administration
Ohio Supercomputer Center

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PEARC '18

PEARC '18: Practice and Experience in Advanced Research Computing

July 22 - 26, 2018

PA, Pittsburgh, USA

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PEARC '18 Paper Acceptance Rate 79 of 123 submissions, 64%;

Overall Acceptance Rate 133 of 202 submissions, 66%

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Abstract

References

Index Terms

Recommendations

Terrain Synthesis from Digital Elevation Models

A comparison of three terrain parameters that may be used to identify denudation surfaces within a GIS: A case study from Wales, United Kingdom

A fast and robust bulk-loading algorithm for indexing very large digital elevation datasets

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