future.BatchJobs: A Future API for Parallel and Distributed Processing using BatchJobs

Implements of the Future API on top of the 'BatchJobs' package. This allows you to process futures, as defined by the 'future' package, in parallel out of the box, not only on your local machine or ad-hoc cluster of machines, but also via high-performance compute ('HPC') job schedulers such as 'LFS', 'OpenLava', 'Slurm', 'SGE', and 'TORQUE' / 'PBS', e.g. 'y <- future_lapply(files, FUN = process)'.

Version: 0.14.0
Depends: R (≥ 3.2.0), future (≥ 1.4.0)
Imports: BatchJobs (≥ 1.6), R.utils
Suggests: listenv, markdown, R.rsp
Published: 2017-03-18
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb at braju.com>
BugReports: https://github.com/HenrikBengtsson/future.BatchJobs/issues
License: LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)]
URL: https://github.com/HenrikBengtsson/future.BatchJobs
NeedsCompilation: no
Materials: NEWS
In views: HighPerformanceComputing
CRAN checks: future.BatchJobs results

Downloads:

Reference manual: future.BatchJobs.pdf
Vignettes: A Future for BatchJobs
Package source: future.BatchJobs_0.14.0.tar.gz
Windows binaries: r-devel: future.BatchJobs_0.14.0.zip, r-release: future.BatchJobs_0.14.0.zip, r-oldrel: future.BatchJobs_0.14.0.zip
OS X El Capitan binaries: r-release: future.BatchJobs_0.14.0.tgz
OS X Mavericks binaries: r-oldrel: future.BatchJobs_0.14.0.tgz
Old sources: future.BatchJobs archive

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