One thing Bradley Setzler suggested on this forum a few weeks back was to
put A = rand() in a separate file, require() that file, and then proceed.
I use that setup frequently.
On Monday, September 15, 2014 4:52:33 AM UTC-5, 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?
>
