Enable parallel evaluation using registered dopar backend
This class is used to dispatch parallel operations to the dopar backend registered with the foreach package.
DoparParam(stop.on.error=TRUE)
stop.on.error |
|
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:
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)
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