Chris Strickland <https://groups.google.com/forum/#!msg/julia-users/jlKoEtErRL4/0ZcB_hxyJlYJ> lists one approach for the general problem
you could precreate A and then define it everywhere, or send a copy over as a parameter to whatever function you use in pmap, similar but not the same as above Another approach which was useful to me was the @parallel for loops "Any variables used inside the parallel loop will be copied and broadcast to each process." <http://julia.readthedocs.org/en/latest/manual/parallel-computing/> and shared arrays <http://julia.readthedocs.org/en/latest/manual/parallel-computing/#shared-arrays-experimental-unix-only-feature> if using linux could be useful (I've not tried them). On Monday, September 15, 2014 10:52:33 AM UTC+1, xiong...@gmail.com wrote: > > I want to transfer a variable to all parallel workers. However, if I do: > > A=rand() > pmap(x->A+x,1:3) > > Return error: > exception on 2: ERROR: A not defined > in anonymous at none:1 > in anonymous at multi.jl:855 > in run_work_thunk at multi.jl:621 > in anonymous at task.jl:855 > exception on 3: ERROR: A not defined > in anonymous at none:1 > in anonymous at multi.jl:855 > in run_work_thunk at multi.jl:621 > in anonymous at task.jl:855 > 2-element Array{Any,1}: > UndefVarError(:A) > UndefVarError(:A) > > The result of > @everywhere A=rand() > pmap(x->A+x,1:3) > is not what I want, since I hope A in all mashines are the same. > > I know that pmap((x,y)->x+y,1:3,fill(A,3)) will be work, but I don't think > it is smart since A is expand in memery unnessarily. Is there any simple > way to just send a copy of A, or the reference of A, to all parallel > mashines? >
