Skip Links

USGS - science for a changing world

Open-File Report 03–216

Processing Large Remote Sensing Image Data Sets on Beowulf Clusters

By Daniel R. Steinwand, Brian Maddox, Tim Beckmann, and Gail Schmidt

Thumbnail of and link to report PDF (207 KB)Abstract

High-performance computing is often concerned with the speed at which floating-point calculations can be performed. The architectures of many parallel computers and/or their network topologies are based on these investigations. Often, benchmarks resulting from these investigations are compiled with little regard to how a large dataset would move about in these systems. This part of the Beowulf study addresses that concern by looking at specific applications software and system-level modifications. Applications include an implementation of a smoothing filter for time-series data, a parallel implementation of the decision tree algorithm used in the Landcover Characterization project, a parallel Kriging algorithm used to fit point data collected in the field on invasive species to a regular grid, and modifications to the Beowulf project’s resampling algorithm to handle larger, higher resolution datasets at a national scale. Systems-level investigations include a feasibility study on Flat Neighborhood Networks and modifications of that concept with Parallel File Systems.

First posted 2003

Part or all of this report is presented in Portable Document Format (PDF); the latest version of Adobe Reader or similar software is required to view it. Download the latest version of Adobe Reader, free of charge.


Suggested citation:

Steinwand, D.R., Maddox, Brian, Beckmann, Tim, and Schmidt, Gail, 2003, Processing Large Remote Sensing Image Data Sets on Beowulf Clusters: U.S. Geological Survey Open-File Report 03–216, 27 p., available only online at http://pubs.usgs.gov/of/2003/0216/.


Accessibility FOIA Privacy Policies and Notices

Take Pride in America logo USA.gov logo U.S. Department of the Interior | U.S. Geological Survey
URL: http://pubsdata.usgs.gov/pubs/of/2003/0216/index.html
Page Contact Information: GS Pubs Web Contact
Page Last Modified: Thursday, 01-Aug-2013 14:31:50 EDT