View source: R/mirai_multisession.R
mirai_multisession | R Documentation |
Mirai-based localhost multisession futures
mirai_multisession(
expr,
substitute = TRUE,
envir = parent.frame(),
...,
workers = availableCores()
)
expr |
An R expression. |
substitute |
If TRUE, argument |
envir |
The environment from where global objects should be identified. |
... |
Additional named elements of the future. |
workers |
The number of parallel processes to use. If a function, it is called without arguments when the future is created and its value is used to configure the workers. |
An object of class MiraiFuture.
plan(mirai_multisession)
# 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)
plan(sequential)
invisible(mirai::daemons(0)) ## Shut down mirai workers
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