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Documents
Description
2009
LCI
Conference
Tutorial
HDF5
and
netCDF ‐4:
Two
Solutions
for
Data
Management
Problems
Based
on
One
File
Format
Elena
Pourmal,
Albert
Cheng,
Ruth
Aydt
(The
HDF
Group)
Ed
Hartnett
(Unidata/UCAR)
Overview
Over
the
past
20
years,
the
HDF
( www.hdfgroup.org )
and
netCDF
( www.unidata.ucar.edu )
file
formats
have
become
de
facto
standards
for
storing,
managing,
and
exchanging
data
in
science
and
engineering
communities.
P etabytes
of
data
have
been
written
in
both
formats
and
used
in
many
endeavors,
including
climate
change
modeling,
weather
prediction,
nuclear
fusion
simulation,
non ‐destructive
material
testing,
bioinformatics,
and
high ‐resolution
imaging.
Advances
in
hi gh‐performance
computing
have
made
it
possible
to
model
and
study
very
complex
phenomena
in
a
wide
range
of
scientific
fields
while
producing,
accessing,
and
analyzing
gigabytes
of
complex
and
diverse
data.
Efficient
data
management,
including
seamless
dat a
interoperability,
is
a
critical
part
of
the
scientific
discovery
process
that
presents
new
challenges
to
the
users
and
maintainers
of
scientific
data
formats.
This
tutorial
introduces
HDF5
and
netCDF ‐4,
a
new
version
of
netCDF
built
on
top
of
HDF5.
HDF5
and
netCDF ‐4
were
created
to
address
data
management
needs
in
today’s
heterogeneous
and
quickly
evolving
high ‐performance
computational
environments ...
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Publié par
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Langue
Latin