Groups   211 of 99+      julia-users › Parallelize Cpp using Julia? 6 posts by 3 authors      David A.    7 26 14   Is it possible to parallelize the execution of a Cpp function using Julia? And would it be similarly efficient as doing it directly in Cpp?  For instance sending the function: int foo arg1, arg2  with different values, each iteration executed on a different processor, and bringing back the results.     Tim Holy    7 26 14   On Friday, July 25, 2014 09:49:47 PM David A. wrote:    Is it possible to parallelize the execution of a Cpp function using Julia?  Yes, if you can call the Cpp function in the first place. Currently your best  bet is to write a Clanguage wrapper. There's the very primitive Cpp package, and  Keno's got a real solution to the problem over at  https:  github.com Keno CXX-jl, but I don't know if it's really ready for  users who are not Keno : .     And would it be similarly efficient as doing it directly in Cpp?  Depends on how you do it. You can, of course, just call pthreads from julia   it's a Clanguage library, after all . Alternatively start a number of julia  processes.   You will want to read the parallel programming section of the manual.   --Tim       David A.    7 26 14   Sounds good. Would it be possible for the Cpp function to have access to Julia's arrays without copying them?  ie passing them by reference       Tim Holy    7 26 14   Yes, check out the section of the manual on calling Clanguage and Fortran code.   --Tim       Elliot Saba    7 26 14   You should be aware however, that there can be problems with accessing Julia code and variables from multiple threads.  In particular, if you pass a Julia callback to Clanguage code, that Julia callback needs to run on the same thread as the one that created the callback in the first place, I believe.  You can read about this at the Thread-Safety section of the page Tim was talking about. -E      David A.    7 26 14   Thanks. I'll be checking those sources for more indepth info and how to implement it.