Also using R-devel might help - the forking support in parallel has been
made more robust against race conditions, but the changes are probably
too substantial to port to 3.4.x. If you find how to cause a race
condition using parallel/forking in R-devel, a report would be greatly
appreciated.
Dear Henrik,
thank you, for the quick reply. Bizarrely enough, the problem vanished when
I woke the computer from sleep (I had previously replicated the problem
after several restarts of both R and the MacOS).
I will follow-up if I can again replicate the problem.
Florian
On 2/10/18 4:39 PM, H
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).
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 ca