makeClusterFunctionsInteractive: Create cluster functions for sequential execution in same...

In BatchJobs: Batch Computing with R

Create cluster functions for sequential execution in same session.

Description

All jobs executed under these cluster functions are executed sequentially, in the same interactive R process that you currently are. That is, submitJob does not return until the job has finished. The main use of this ClusterFunctions implementation is to test and debug programs on a local computer.

Listing jobs returns an empty vector (as no jobs can be running when you call this) and killJob returns at once (for the same reason).

Usage

makeClusterFunctionsInteractive(write.logs = TRUE)

Arguments

write.logs

[logical(1)] Sink the output to log files. Turning logging off can increase the speed of calculations but makes it next to impossible to debug. Default is TRUE.

Value

[ClusterFunctions].

See Also

Other clusterFunctions: makeClusterFunctionsLSF(), makeClusterFunctionsLocal(), makeClusterFunctionsMulticore(), makeClusterFunctionsOpenLava(), makeClusterFunctionsSGE(), makeClusterFunctionsSLURM(), makeClusterFunctionsSSH(), makeClusterFunctionsTorque(), makeClusterFunctions()

BatchJobs documentation built on March 21, 2022, 5:05 p.m.