Higher Level SNOW Functions
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.