snow-parallel: Higher Level SNOW Functions

In snow: Simple Network of Workstations

Description

Parallel versions of apply and related functions.

Usage

parLapply(cl, x, fun, ...)
parSapply(cl, X, FUN, ..., simplify = TRUE, USE.NAMES = TRUE) 
parApply(cl, X, MARGIN, FUN, ...)
parRapply(cl, x, fun, ...)
parCapply(cl, x, fun, ...)
parMM(cl, A, B)

Arguments

cl	cluster object
fun	function or character string naming a function
X	array to be used
x	matrix to be used
FUN	function or character string naming a function
MARGIN	vector specifying the dimensions to use.
simplify	logical; see sapply
USE.NAMES	logical; see sapply
...	additional arguments to pass to standard function
A	matrix
B	matrix

Details

parLapply, parSapply, and parApply are parallel versions of lapply, sapply, and apply.

parRapply and parCapply are parallel row and column apply functions for a matrix x; they may be slightly more efficient than parApply.

parMM is a very simple(minded) parallel matrix multiply; it is intended as an illustration.

For more details see https://stat.uiowa.edu/~luke/R/cluster/cluster.html.

Examples

  ## Not run: 
cl <- makeSOCKcluster(c("localhost","localhost"))
parSapply(cl, 1:20, get("+"), 3)
  
## End(Not run)

snow documentation built on Oct. 27, 2021, 5:08 p.m.