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Six degrees of scientific data: reading patterns for extreme scale science IO
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Authors:
Jay Lofstead
Sandia National Laboratories, Albuquerque, NM, USA
Milo Polte
Carnegie Mellon University, Pittsburgh, PA, USA
Garth Gibson
Carnegie Mellon University, Pittsburgh, PA, USA
Scott Klasky
Oak Ridge National Laboratory, Oak Ridge, TN, USA
Karsten Schwan
Georgia Institute of Technology, Atlanta, GA, USA
Ron Oldfield
Sandia National Laboratories, Albuquerque, NM, USA
Matthew Wolf
Georgia Institute of Technology, Atlanta, GA, USA
Qing Liu
Oak Ridge National Laboratory, Oak Ridge, TN, USA
2011 Article
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Published in:
· Proceeding
HPDC '11
Proceedings of the 20th international symposium on High performance distributed computing
Pages 49-60
ACM
New York, NY
, USA
©2011
table of contents
ISBN: 978-1-4503-0552-5
doi>
10.1145/1996130.1996139
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adios
analysis
design
experimentation
hdf5
log-based
logically contiguous
measurement
netcdf
performance
pnetcdf
secondary storage
standardization
visualization
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