Example how to use parallel::mclapply:
binnedMean2 <- function(bins, numvar) {
stopifnot(is(bins, "GRangesList"))
stopifnot(is(numvar, "RleList"))
mean.list <- mclapply(names(bins),
function(binname) {
print(binname)
seqname=unique(as.character(seqnames(bins[[binname]])))
views <- Views(numvar[[seqname]],ranges(bins[[binname]]))
sum(viewSums(views))/sum(as.numeric(width(bins[[binname]])))
},mc.cores=9)
names(mean.list) <- names(bins)
mean.list <- unlist(mean.list)
mean.list
}