Parallel sapply
Apply a function to a vector using parallel processing.
pSapply( X, FUN, parallel = "snow", ncpus = NULL, cl = NULL, add.obj = NULL, ... )
X |
A vector object (numeric, character, or list). |
FUN |
Function to apply to the elements of |
parallel |
The type of parallel processing to use. Can be one of
|
ncpus |
Number of system cores to use for parallel processing. If
|
cl |
Optional cluster to use if |
add.obj |
A character vector of any additional object names to be exported to the cluster for parallel processing. Use if a required object or function cannot be found. |
... |
This is a wrapper for parSapply from the parallel
package, enabling (potentially) faster processing of a function over a
vector of objects. Parallel processing via option "snow" (default)
is carried out using a cluster of workers, which is automatically set up
via makeCluster using all available system cores or a user supplied
number of cores. The function then exports the required objects and
functions to this cluster using clusterExport, after performing a
(rough) match of all objects and functions in the current global
environment to those referenced in the call to FUN (and also any
calls in X). Any additional required objects can be supplied using
add.obj.
The output of FUN in a list, or simplified to a vector or
array.
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