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Mac on linux parallel
Mac on linux parallel










Sys.sleep(1) # Do nothing for 1 seconds.Source("~/Dropbox/R/Parallel/MMayer Timings.R", echo=TRUE) 'help.start()' for an HTML browser interface to help. Type 'demo()' for some demos, 'help()' for on-line help, or 'citation()' on how to cite R or R packages in publications. Type 'contributors()' for more information and R is a collaborative project with many contributors. Natural language support but running in an English locale Type 'license()' or 'licence()' for distribution details. You are welcome to redistribute it under certain conditions. R is free software and comes with ABSOLUTELY NO WARRANTY. Here's what happens when I run the code in Rstudio:Ĭopyright (C) 2021 The R Foundation for Statistical Computing System.time(res <- mclapply(1:trials, compute, data=x, mc.cores=mc.cores)) System.time(res <- lapply(1:trials, compute, data=x)) Result1 <- glm(data ~ data, family = binomial(logit)) System.time(mclapply(1:mc.cores, sleep, mc.cores = mc.cores/2)) # this should repoort 2 seconds elapsed time System.time(mclapply(1:mc.cores, sleep, mc.cores = mc.cores))

mac on linux parallel

# this should repoort 1 seconds elapsed time I am still not sure why you don't see any performance improvements on your Intel Mac.Ĭan you please run the below code and see what it gets back with ? I am mostly interested in mc.cores and the timings for the two sleep and two compute runs.












Mac on linux parallel