A few quick comments: * You mention R --vanilla, but make sure to try with parallel::makeCluster(), so that you don't happen to pick up snow::makeCluster() if 'snow' is attached and ahead of parallel on the search() path.
* Try creating a single background worker, i.e. parallel::makeCluster(1L). * Try with cl <- future::makeClusterPSOCK(1L, verbose = TRUE), which gives the same thing, but it also show you some details on what it does internally; that may give some clues where it stalls. /Henrik On Sat, Feb 10, 2018 at 12:11 PM, T. Florian Jaeger <fjae...@ur.rochester.edu> wrote: > Hi all, > > I can't get the functionality of the package parallel to work. Specifically, > makeCluster() hangs when I run it. I first noticed the problem when trying > to run Rstan with multiple cores and the traced it back to the core package > parallel. The following results in R hanging after the call to makeCluster. > > library(parallel) > > # Calculate the number of cores > no_cores <- detectCores() - 1 > > # Initiate cluster > cl <- makeCluster(no_cores) > > I'm running MacOS High Sierra 10.13.3 (17D47) on a MacbookPro 2017 laptop > with 4 cores. > > platform x86_64-apple-darwin15.6.0 > arch x86_64 > os darwin15.6.0 > system x86_64, darwin15.6.0 > status > major 3 > minor 4.3 > year 2017 > month 11 > day 30 > svn rev 73796 > language R > version.string R version 3.4.3 (2017-11-30) > nickname Kite-Eating Tree > > The problem replicates in R --vanilla > > > I've spent hours googling for solutions but can't find any reports of this > problem. Any help would be appreciated. > > > Florian > > ______________________________________________ > R-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
