Mirai-based cluster futures
Usage
mirai_cluster(..., envir = parent.frame())Arguments
- envir
The environment from where global objects should be identified.
- ...
Additional arguments passed to
Future().
Examples
mirai::daemons(parallelly::availableCores())
#> [1] 8
plan(mirai_cluster)
# A function that returns a future, note that N uses lexical scoping...
f <- function() future({4 * sum((runif(N) ^ 2 + runif(N) ^ 2) < 1) / N}, seed = TRUE)
# Run a simple sampling approximation of pi in parallel using M * N points:
N <- 1e6 # samples per worker
M <- 10 # iterations
pi_est <- Reduce(sum, Map(value, replicate(M, f()))) / M
print(pi_est)
#> [1] 3.14174
plan(sequential)
invisible(mirai::daemons(0)) ## Shut down mirai workers