aws-code/MakeParallel Configurations for EC2 LINUX at master · knoxju/aws-code · GitHub

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#MakeParallel Configurations for EC2 LINUX

#MakeParallel performs autodetection to help in the efficient execution. When working with vCPUs on EC2 instances, we want to take advantage of all of them, and this helps.

library(makeParallel)

new <- tempdir()
myoldscript <- system.file("example", package = "makeParallel")
script <- file.path(new, "example")
file.copy(myoldscript, script)

#should return TRUE

list.files(new)

#should return "example"

#Replace your serially compiled code with a parallel version automatically

input <- parse(text = "
    x <- list(a = 1:10, beta = exp(-3:3), logic = c(TRUE,FALSE,FALSE,TRUE))
    m1 <- lapply(x, mean)
    m2 <- list()
    for(i in seq_along(x)) {
        m2[[i]] = mean(x[[i]])
    }
    ")

transformed <- makeParallel(input)


#Transform object for both  for loop and  lapply to parallel::mclapply.

#eference - [makeParallel](https://cran.r-project.org/web/packages/makeParallel/vignettes/concepts.html)