snow-parallel {snow} | R Documentation |
Parallel versions of apply
and related functions.
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)
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 |
USE.NAMES |
logical; see |
... |
additional arguments to pass to standard function |
A |
matrix |
B |
matrix |
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 http://www.stat.uiowa.edu/~luke/R/cluster/cluster.html.
## Not run: cl <- makeSOCKcluster(c("localhost","localhost")) parSapply(cl, 1:20, get("+"), 3) ## End(Not run)