mclapply uses fork which is different from pthreads. As I understand it, pthreads requires you to rewrite code, fork is a system call which takes care of completely replicating the current state of the process.
Kasper On Fri, Aug 14, 2015 at 5:00 PM, Henrik Bengtsson <henrik.bengts...@ucsf.edu > wrote: > On Windows there are a few 'pthreads' implementation, e.g. > pthreads-w32 and winpthreads > [https://cran.r-project.org/doc/manuals/r-devel/R-exts.html#Using-pthreads > ]. > We're thinking of giving them a try for the matrixStats package, and > basic tests indicates it works, but since Windows pthreads are not > used by core R (or?) I've got a little bit worried that we will face > overwhelming problems. > > So, why are the above Windows implementations not used in the > 'parallel' package in order to add multicore support for mclapply() on > Windows? Was it tried but found to be unreliable? Was it that no one > had the time to do it? License issues? Are there any pointers to old > R-devel threads discussing this? > > Thanks > > Henrik > > ______________________________________________ > R-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel > [[alternative HTML version deleted]] ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
