Parallelization in R
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1 Parallelization in R
TL;DR
fun <- function(...) {
# define your function
}
# init
library(future.apply)
plan(multicore, 32) # on macOS, choose multicore
# run!
future_lapply(iterable, fun)
futuremay take a little time to ramp up. I’ve seen cases where processing 1,000 items took ~20 s, and processing 5,000 still took ~20 s!
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