Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/2070770.2070780 | GIS-HPDGIS |
Keywords | Field | DocType |
parallel file system,high performance computer,space-time gis data model,ongoing project,hpc environment,desktop computing environment,high performance computing platform,large dataset,gis module,high performance computing,system,geographic information systems,remote sensing,performance,space time,data model | Geographic information system,GIS file format,File system,Computer science,AM/FM/GIS,Porting,Enterprise GIS,Data model,Distributed GIS,Database | Conference |
Citations | PageRank | References |
1 | 0.38 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dali Wang | 1 | 18 | 4.16 |
| Ziliang Zhao | 2 | 4 | 1.86 |
| Shih-Lung Shaw | 3 | 341 | 23.87 |