Name: Processing Large Remote Sensing Image Data Sets on Beowulf Clusters: Open-File Report 2003-216 (en Inglés)
Price: 87.64 PEN
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Author: Steinwand, Daniel R. ; U. S. Department of the Interior, United ; Et Al
ISBN: 9781288745883

portada Processing Large Remote Sensing Image Data Sets on Beowulf Clusters: Open-File Report 2003-216 (en Inglés)

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

Formato

Libro Físico

Autor

United U. S. Department of the Interior

Daniel R. Steinwand

Editorial

Bibliogov

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

24.6 x 18.9 x 0.2 cm

Peso

0.07 kg.

ISBN13

9781288745883

Categorías

Política y gobierno

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

United U. S. Department of the Interior (Autor) · Daniel R. Steinwand (Autor) · Bibliogov · Tapa Blanda

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Reseña del libro "Processing Large Remote Sensing Image Data Sets on Beowulf Clusters: Open-File Report 2003-216 (en Inglés)"

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.