An approach to integrate a space-time GIS data model with high performance computers

Dali Wang; Ziliang Zhao; Shih Lung Shaw

doi:10.1145/2070770.2070780

An approach to integrate a space-time GIS data model with high performance computers

Dali Wang, Ziliang Zhao, Shih Lung Shaw

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Proceedings of the ACM SIGSPATIAL 2nd International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2011
Pages	46-47
Number of pages	2
DOIs	https://doi.org/10.1145/2070770.2070780
State	Published - 2011
Event	ACM SIGSPATIAL 2nd International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2011 - Chicago, IL, United States Duration: Nov 1 2011 → Nov 1 2011

Publication series

Name	Proceedings of the ACM SIGSPATIAL 2nd International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2011

Conference

Conference	ACM SIGSPATIAL 2nd International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2011
Country/Territory	United States
City	Chicago, IL
Period	11/1/11 → 11/1/11

Keywords

data model
high performance computing
space-time GIS
system

Access to Document

10.1145/2070770.2070780

Cite this

Wang, D., Zhao, Z., & Shaw, S. L. (2011). An approach to integrate a space-time GIS data model with high performance computers. In Proceedings of the ACM SIGSPATIAL 2nd International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2011 (pp. 46-47). (Proceedings of the ACM SIGSPATIAL 2nd International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2011). https://doi.org/10.1145/2070770.2070780

Wang, Dali ; Zhao, Ziliang ; Shaw, Shih Lung. / An approach to integrate a space-time GIS data model with high performance computers. Proceedings of the ACM SIGSPATIAL 2nd International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2011. 2011. pp. 46-47 (Proceedings of the ACM SIGSPATIAL 2nd International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2011).

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title = "An approach to integrate a space-time GIS data model with high performance computers",

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.",

keywords = "data model, high performance computing, space-time GIS, system",

author = "Dali Wang and Ziliang Zhao and Shaw, {Shih Lung}",

year = "2011",

doi = "10.1145/2070770.2070780",

language = "English",

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series = "Proceedings of the ACM SIGSPATIAL 2nd International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2011",

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booktitle = "Proceedings of the ACM SIGSPATIAL 2nd International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2011",

note = "ACM SIGSPATIAL 2nd International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2011 ; Conference date: 01-11-2011 Through 01-11-2011",

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Wang, D, Zhao, Z & Shaw, SL 2011, An approach to integrate a space-time GIS data model with high performance computers. in Proceedings of the ACM SIGSPATIAL 2nd International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2011. Proceedings of the ACM SIGSPATIAL 2nd International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2011, pp. 46-47, ACM SIGSPATIAL 2nd International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2011, Chicago, IL, United States, 11/1/11. https://doi.org/10.1145/2070770.2070780

An approach to integrate a space-time GIS data model with high performance computers. / Wang, Dali; Zhao, Ziliang; Shaw, Shih Lung.
Proceedings of the ACM SIGSPATIAL 2nd International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2011. 2011. p. 46-47 (Proceedings of the ACM SIGSPATIAL 2nd International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Wang D, Zhao Z, Shaw SL. An approach to integrate a space-time GIS data model with high performance computers. In Proceedings of the ACM SIGSPATIAL 2nd International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2011. 2011. p. 46-47. (Proceedings of the ACM SIGSPATIAL 2nd International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2011). doi: 10.1145/2070770.2070780

An approach to integrate a space-time GIS data model with high performance computers

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