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portada Processing Large Remote Sensing Image Data Sets on Beowulf Clusters: Open-File Report 2003-216
Type
Physical Book
Publisher
Language
English
Pages
30
Format
Paperback
Dimensions
24.6 x 18.9 x 0.2 cm
Weight
0.07 kg.
ISBN13
9781288745883

Processing Large Remote Sensing Image Data Sets on Beowulf Clusters: Open-File Report 2003-216

United U. S. Department of the Interior (Author) · Daniel R. Steinwand (Author) · Bibliogov · Paperback

Processing Large Remote Sensing Image Data Sets on Beowulf Clusters: Open-File Report 2003-216 - Steinwand, Daniel R. ; U. S. Department of the Interior, United ; Et Al

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Synopsis "Processing Large Remote Sensing Image Data Sets on Beowulf Clusters: Open-File Report 2003-216"

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.

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