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

Steinwand, Daniel R

Brossura

ISBN 10: 1288745885 ISBN 13: 9781288745883

Casa editrice: BiblioBazaar, LLC, 2013

Riassunto

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.

Dettagli dell'edizione

• Editore: BiblioBazaar, LLC
• Data di pubblicazione: 2013
• Lingua: Inglese
• ISBN 10: 1288745885
• ISBN 13: 9781288745883
• Rilegatura: Copertina flessibile
• Numero di pagine: 30
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile