makeClusterFunctionsInteractive

[<code>logical(1)</code>]
If set to <code>TRUE</code>, jobs are started in a fresh R session instead of currently active but still
waits for its termination.
Default is <code>FALSE</code>.

external

[<code>logical(1)</code>]
Sink the output to log files. Turning logging off can increase the speed of
calculations but makes it very difficult to debug.
Default is <code>TRUE</code>.

write.logs

All jobs are executed sequentially using the current R process in which <code><a rd-options="" href="/link/submitJobs?package=batchtools&version=0.9.0" data-mini-rdoc="batchtools::submitJobs">submitJobs</a></code> is called.
Thus, <code>submitJob</code> blocks the session until the job has finished.
The main use of this <code>ClusterFunctions</code> implementation is to test and debug programs on a local computer.<p></p><p>Listing jobs returns an empty vector (as no jobs can be running when you call this)
and <code>killJob</code> is not implemented for the same reasons.</p>

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'
(<http://www-03.ibm.com/systems/spectrum-computing/products/lsf/>),
'OpenLava' (<http://www.openlava.org/>), 'Univia Grid Engine'/'Oracle Grid
Engine' (<http://www.univa.com/>), 'Slurm' (<http://slurm.schedmd.com/>),
'Torque/PBS'
(<http://www.adaptivecomputing.com/products/open-source/torque/>), 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.

Michel Lang

makeClusterFunctionsInteractive: ClusterFunctions for Sequential Execution in the Running R Session

Description

Usage

Arguments

Value

See Also