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Terascale data organization for discovering multivariate climatic trends
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Authors:
Wesley Kendall
The University of Tennessee, Knoxville, TN
Markus Glatter
The University of Tennessee, Knoxville, TN
Jian Huang
The University of Tennessee, Knoxville, TN
Tom Peterka
Argonne National Laboratory, Argonne, IL
Robert Latham
Argonne National Laboratory, Argonne, IL
Robert Ross
Argonne National Laboratory, Argonne, IL
2009 Article
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Published in:
· Proceeding
SC '09
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
Article No. 15
ACM
New York, NY
, USA
©2009
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ISBN: 978-1-60558-744-8
doi>
10.1145/1654059.1654075
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Tags:
algorithms
design
earth and atmospheric sciences
modeling methodologies
modis
multivariate statistics
parallel databases
parallel i/o
performance
performance evaluation
query processing
query-driven visualization
temporal data analysis
theory
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