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

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

doi:10.1145/3093338.3093345

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

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

CLAS-NS: Earth and Space Exploration, School of (SESE)

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 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	https://doi.org/10.1145/3093338.3093345
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

Access to Document

10.1145/3093338.3093345

Fingerprint Dive into the research topics of 'Advancing analysis of high resolution topography using distributed hpc resources in opentopography'. Together they form a unique fingerprint.

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 proceeding › Conference 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.

@inproceedings{0f83143abf22449a92add7cc93623e7b,

title = "Advancing analysis of high resolution topography using distributed hpc resources in opentopography",

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.",

keywords = "Data, HPC, Lidar, Science gateway, Software, Topography",

author = "Viswanath Nandigam and Christopher Crosby and Ramon Arrowsmith and Minh Phan and Kai Lin and Benjamin Gross",

year = "2017",

month = jul,

day = "9",

doi = "10.1145/3093338.3093345",

language = "English (US)",

volume = "Part F128771",

booktitle = "PEARC 2017 - Practice and Experience in Advanced Research Computing 2017",

publisher = "Association for Computing Machinery",

note = "2017 Practice and Experience in Advanced Research Computing, PEARC 2017 ; Conference date: 09-07-2017 Through 13-07-2017",

}

TY - GEN

T1 - Advancing analysis of high resolution topography using distributed hpc resources in opentopography

AU - Nandigam, Viswanath

AU - Crosby, Christopher

AU - Arrowsmith, Ramon

AU - Phan, Minh

AU - Lin, Kai

AU - Gross, Benjamin

PY - 2017/7/9

Y1 - 2017/7/9

N2 - 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.

AB - 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.

KW - Data

KW - HPC

KW - Lidar

KW - Science gateway

KW - Software

KW - Topography

UR - http://www.scopus.com/inward/record.url?scp=85025804389&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85025804389&partnerID=8YFLogxK

U2 - 10.1145/3093338.3093345

DO - 10.1145/3093338.3093345

M3 - Conference contribution

AN - SCOPUS:85025804389

VL - Part F128771

BT - PEARC 2017 - Practice and Experience in Advanced Research Computing 2017

PB - Association for Computing Machinery

T2 - 2017 Practice and Experience in Advanced Research Computing, PEARC 2017

Y2 - 9 July 2017 through 13 July 2017

ER -