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 language | English (US) |
|---|---|
| Title of host publication | PEARC 2017 - Practice and Experience in Advanced Research Computing 2017 |
| Subtitle of host publication | Sustainability, Success and Impact |
| Publisher | Association for Computing Machinery |
| Volume | Part F128771 |
| ISBN (Electronic) | 9781450352727 |
| DOIs | |
| State | Published - Jul 9 2017 |
| Event | 2017 Practice and Experience in Advanced Research Computing, PEARC 2017 - New Orleans, United States Duration: Jul 9 2017 → Jul 13 2017 |
Other
| Other | 2017 Practice and Experience in Advanced Research Computing, PEARC 2017 |
|---|---|
| Country | United States |
| City | New Orleans |
| Period | 7/9/17 → 7/13/17 |
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