batchtools: Tools for Computation on Batch Systems

As a successor of the packages 'BatchJobs' and 'BatchExperiments', this package provides a parallel implementation of the Map function for high performance computing systems managed by schedulers 'IBM Spectrum LSF' (<https://www.ibm.com/us-en/marketplace/hpc-workload-management>), 'OpenLava' (<http://www.openlava.org/>), 'Univa Grid Engine'/'Oracle Grid Engine' (<http://www.univa.com/>), 'Slurm' (<http://slurm.schedmd.com/>), 'TORQUE/PBS' (<https://adaptivecomputing.com/cherry-services/torque-resource-manager/>), or 'Docker Swarm' (<https://docs.docker.com/swarm/>). A multicore and socket mode allow the parallelization on a local machines, and multiple machines can be hooked up via SSH to create a makeshift cluster. Moreover, the package provides an abstraction mechanism to define large-scale computer experiments in a well-organized and reproducible way.

Version:	0.9.13
Depends:	R (≥ 3.0.0)
Imports:	backports (≥ 1.1.2), base64url (≥ 1.1), brew, checkmate (≥ 1.8.5), data.table (≥ 1.11.2), digest (≥ 0.6.9), fs (≥ 1.2.0), parallel, progress (≥ 1.1.1), R6, rappdirs, stats, stringi, utils, withr (≥ 2.0.0)
Suggests:	debugme, doParallel, doMPI, e1071, foreach, future, future.batchtools, knitr, parallelMap, ranger, rmarkdown, rpart, snow, testthat, tibble
Published:	2020-03-19
Author:	Michel Lang [cre, aut], Bernd Bischl [aut], Dirk Surmann [ctb]
Maintainer:	Michel Lang <michellang at gmail.com>
BugReports:	https://github.com/mllg/batchtools/issues
License:	LGPL-3
URL:	https://github.com/mllg/batchtools
NeedsCompilation:	yes
Citation:	batchtools citation info
Materials:	README NEWS
In views:	HighPerformanceComputing
CRAN checks:	batchtools results

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