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future.BatchJobs (version 0.17.0)

A Future API for Parallel and Distributed Processing using BatchJobs

Description

Implementation 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 'LSF', 'OpenLava', 'Slurm', 'SGE', and 'TORQUE' / 'PBS', e.g. 'y <- future.apply::future_lapply(files, FUN = process)'. NOTE: The 'BatchJobs' package is deprecated in favor of the 'batchtools' package. Because of this, it is recommended to use the 'future.batchtools' package instead of this package.

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Install

install.packages('future.BatchJobs')

Monthly Downloads

152

Version

0.17.0

License

LGPL (>= 2.1)

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Last Published

January 4th, 2021

Functions in future.BatchJobs (0.17.0)

future.BatchJobs

future.BatchJobs: A Future for BatchJobs
batchjobs_multicore

BatchJobs multicore futures
batchjobs_template

BatchJobs LSF, OpenLava, SGE, Slurm and Torque futures
batchjobs_custom

BatchJobs conf futures
batchjobs_local

BatchJobs local and interactive futures
delete.BatchJobsFuture

Removes a BatchJobs future
%resources%

Temporarily tweaks the resources for the current BatchJobs strategy
BatchJobsFuture

A BatchJobs future is a future whose value will be resolved via BatchJobs
nbrOfWorkers.batchjobs

Gets the number of BatchJobs workers
BatchJobsFutureError

FutureError class for errors related to BatchJobsFuture:s
print.BatchJobsFuture

Prints a BatchJobs future
status.BatchJobsFuture

Status of BatchJobs future