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...ained why. You can - either work in something like OpenMP and run in multiple threads that remain /completely/ shielded from R, ie no R calls, and not even R data types as you cannot trigger gc() calls from different threads - or work via, say, the parallel or Rmpi packages in multiple _processes_ each of which could call its corresponding R interpreter (but that is still slower). There are some examples for OpenMP at the Rcpp Gallery: http://gallery.rcpp.org. You may also enjoy the RcppParallel package. But none of this overcomes your main hurdle: no, you cannot call R from differ...

...om and also by Rails). If there are any other fixes/improvements that could be useful let us know. I think this is nearing the end of the line for the 3.x series which will then go into maintenance mode. I''m looking at 4.x being the crazy series that allows us to run thousands of worker _processes_ and scale to mythical 4096 core systems :) The PRNG issues are documented in depth here (and links to Ruby Redmine): http://bogomips.org/unicorn.git/commit?id=1107ede7 http://bogomips.org/unicorn.git/commit?id=b3241621 If you''re too lazy to upgrade, you can just do this in your aft...

Hello, I'm writing an R extension in C++. In the extension, I want to invoke an R function directly and it works when I use Rcpp in the serial code. But what I really want is to invoke the R function in parallel with openmp. When I do so, I got segmentation fault. I remember someone said that R isn't thread-safe. I think it's also understandable because an R function also has