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: 0.1-2
Depends: R (≥ 2.14.0), methods, rlecuyer, pbdMPI (≥ 0.1-6)
OS_type: unix
Published: 2014-02-17
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)
URL: http://r-pbd.org/
NeedsCompilation: yes
SystemRequirements: OpenMPI (>= 1.5.4) on Solaris, Linux and Mac. Parallel HDF5 and NetCDF4 (4.1 or later) libraries.
Citation: pbdNCDF4 citation info
Materials: README ChangeLogINSTALL
In views: HighPerformanceComputing, SpatioTemporal
CRAN checks: pbdNCDF4 results


Reference manual: pbdNCDF4.pdf
Vignettes: pbdNCDF4-guide
Package source: pbdNCDF4_0.1-2.tar.gz
OS X binary: pbdNCDF4_0.1-2.tgz
Windows binary: not available, see ReadMe.
Old sources: pbdNCDF4 archive

Reverse dependencies:

Reverse enhances: pbdDEMO