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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().

Value

An object of class MiraiFuture.

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