DoparParam-class: Enable parallel evaluation using registered dopar backend
In BiocParallel: Bioconductor facilities for parallel evaluation

Description Usage Arguments Details DoparParam constructor Methods Author(s) See Also Examples

This class is used to dispatch parallel operations to the dopar backend registered with the foreach package.

1	DoparParam(stop.on.error=TRUE)

stop.on.error

logical(1)

Stop all jobs as soon as one jobs fails (stop.on.error == TRUE) or wait for all jobs to terminate. Default is TRUE.

DoparParam can be used for shared or non-shared memory computing depending on what backend is loaded. The doSNOW package supports non-shared memory, doParallel supports both shared and non-shared. When not specified, the default number of workers in DoparParam is determined by getDoParWorkers(). See the foreach package vignette for details using the different backends:

http://cran.r-project.org/web/packages/foreach/vignettes/foreach.pdf

Return a proxy object that dispatches parallel evaluation to the registered foreach parallel backend.

There are no options to the constructor. All configuration should be done through the normal interface to the foreach parallel backends.

The following generics are implemented and perform as documented on the corresponding help page (e.g., ?bpisup): bpworkers, bpnworkers, bpstart, bpstop, bpisup, bpbackend, bpbackend<-, bpvec.

Martin Morgan mailto:mtmorgan@fhcrc.org

getClass("BiocParallelParam") for additional parameter classes.

register for registering parameter classes for use in parallel evaluation.

foreach-package for the parallel backend infrastructure used by this param class.

## Not run: 
# First register a parallel backend with foreach
library(doParallel)
registerDoParallel(2)

p <- DoparParam()
bplapply(1:10, sqrt, BPPARAM=p)
bpvec(1:10, sqrt, BPPARAM=p)

register(DoparParam(), default=TRUE)

## End(Not run)