pbdNCDF4: Programming with Big Data – Interface to Parallel Unidata NetCDF4 Format Data Files

This package adds collective parallel read and write capability to the R package ncdf4 version 1.8. Typical use is as a parallel NetCDF4 file reader in SPMD style programming. Each R process reads and writes its own data in a synchronized collective mode, resulting in faster parallel performance. Performance improvement is conditional on a parallel file system.

Version: 0.1-4
Depends: R (≥ 3.0.0)
Enhances: pbdMPI
Published: 2014-06-22
Author: Pragneshkumar Patel [aut, cre], George Ostrouchov [aut], Wei-Chen Chen [aut], Drew Schmidt [aut], David Pierce [aut]
Maintainer: Pragneshkumar Patel <pragnesh at utk.edu>
BugReports: http://group.r-pbd.org/
License: GPL (≥ 3)
Copyright: Most files are originally designed by David Pierce under GPL (>= 3).
URL: http://r-pbd.org/
NeedsCompilation: yes
SystemRequirements: OpenMPI (>= 1.5.4) on Solaris, Linux and Mac. (Parallel) HDF5 and (Parallel) NetCDF4 (4.1 or later) libraries. No MPI library required on Windows.
Citation: pbdNCDF4 citation info
Materials: README ChangeLog INSTALL
In views: HighPerformanceComputing, SpatioTemporal
CRAN checks: pbdNCDF4 results


Reference manual: pbdNCDF4.pdf
Vignettes: pbdNCDF4-guide
Package source: pbdNCDF4_0.1-4.tar.gz
Windows binaries: r-devel: pbdNCDF4_0.1-4.zip, r-release: pbdNCDF4_0.1-4.zip, r-oldrel: pbdNCDF4_0.1-4.zip
OS X binaries: r-release: pbdNCDF4_0.1-4.tgz, r-oldrel: pbdNCDF4_0.1-4.tgz
Old sources: pbdNCDF4 archive

Reverse dependencies:

Reverse enhances: pbdDEMO


Please use the canonical form https://CRAN.R-project.org/package=pbdNCDF4 to link to this page.