Cited By
View all- Zhao ZShaw SWang D(2014)A Space-Time Raster GIS Data Model for Spatiotemporal Analysis of Vegetation Responses to a Freeze EventTransactions in GIS10.1111/tgis.1208819:1(151-168)Online publication date: 27-May-2014
An approach to integrate a space-time GIS data model with high performance computers
Pages 46 - 47
Abstract
In this paper, we describe an approach to integrate a Space-Time GIS data model on a high performance computing platform. The Space-Time GIS data model has been developed on a desktop computing environment. We use the Space-Time GIS data model to generate GIS module, which organizes a series of remote sensing data. We are in the process of porting the GIS module into an HPC environment, in which the GIS modules handle large dataset directly via parallel file system. Although it is an ongoing project, authors hope this effort can inspire further discussions on the integration of GIS on high performance computing platforms.
References
[1]
Openshaw, S. and RJ Abrahart (2000), Geocomputing, London: Taylor & Francis
[2]
Armstrong, M. P. High performance computing and GIS. Proceedings of GIS/LIS 94, Bethesda, MD: American Congress on Surveying and Mapping, pp. 4--13.
[3]
Wang, S., Armstrong, M. P., Ni, J., Liu, Y. GISolve: A grid-based problem solving environment for computationally intensive geographic information analysis. Proceedings of the 14th International Symposium on High Performance Distributed Computing (HPDC-14) Challenges of Large Applications in Distributed Environments (CLADE) Workshop, IEEE Press, pp. 3--12.
[4]
DeWitt, D., Jim Gary (1992). "Parallel Database Systems: The Future of High Performance Database Systems." Communications of The ACM 35(June): 85--98.
[5]
Zhao, ZL, Shaw, SL, Wang, D, A Space-Time GIS Raster Data Model, in preparation
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- An approach to integrate a space-time GIS data model with high performance computers
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November 2011
53 pages
Copyright © 2011 Authors.
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Association for Computing Machinery
New York, NY, United States
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Published: 01 November 2011
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GIS '11
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GIS '11: 19th SIGSPATIAL International Conference on Advances in Geographic Information Systems
November 1, 2011
Illinois, Chicago
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Cited By
View all- Zhao ZShaw SWang D(2014)A Space-Time Raster GIS Data Model for Spatiotemporal Analysis of Vegetation Responses to a Freeze EventTransactions in GIS10.1111/tgis.1208819:1(151-168)Online publication date: 27-May-2014
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