Description Usage Arguments Details Examples
The registerDoParallel function is used to register the 
parallel backend with the foreach package.
| 1 2 | registerDoParallel(cl, cores=NULL, ...)
stopImplicitCluster()
 | 
| cl | A cluster object as returned by  | 
| cores | The number of cores to use for parallel execution. If not
specified, the number of cores is set to the value of 
 | 
| ... | Package options.  Currently, only the  | 
The parallel package from R 2.14.0 and later provides functions for 
parallel execution of R code on machines with multiple cores or processors 
or multiple computers.  It is essentially a blend of the snow and 
multicore packages. By default, the doParallel package uses 
snow-like functionality.  The snow-like functionality
should work fine on Unix-like systems, but the multicore-like 
functionality is limited to a single sequential worker on Windows systems.
On workstations with multiple cores running Unix-like operating systems, 
the system fork call is used to spawn copies of the current process. 
The doParallel backend supports both multicore and snow options passed
through the foreach function. 
The supported multicore options are preschedule, set.seed,
silent, and cores, which are analogous to the similarly named 
arguments to mclapply, and are passed using the
.options.multicore argument to foreach. The supported snow options are 
preschedule, which like its multicore analog can be used to chunk the 
tasks so that each worker gets a prescheduled chunk of tasks, and 
attachExportEnv, which can be used to attach the export environment
in certain cases where R's lexical scoping is unable to find a needed
export. The snow options are passed to foreach using the .options.snow
argument.
The function stopImplicitCluster can be used in vignettes and other places
where it is important to explicitly close the implicitly created cluster.
| 1 2 3 4 5 | cl <- makePSOCKcluster(2)
registerDoParallel(cl)
m <- matrix(rnorm(9), 3, 3)
foreach(i=1:nrow(m), .combine=rbind) 
stopCluster(cl)
 | 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.