Since Julia doesn't at this point have shared memory parallelism, you can't do this.
On Wed, May 27, 2015 at 4:28 PM, Diogo Gobira <[email protected]> wrote: > > What's the best (if it's possible) way to parallelize recursive calls on a > recursive data structure, like a tree, allowing all the workers to update > the nodes they received as parameter on the recursive function calls. My > code is similar to this: > > function apply_simulation(node,data) > #Do sometinhing with the root node > do_something(node) > for i=1:length(node.childs) > # Call recursivelly on each child > apply_simulation(node.child[i],data) > end > end > > I would like to use @parallel, as shown in the code bellow. Is it possible > for my tree object be visible and writable for all workers? > > function apply_simulation(node,data) > #Do something with the root node > do_something(node, data) > *@parallel* for i=1:length(node.childs) > # Call recursivelly on each child > apply_simulation(node.child[i],data) > end > end > > Thanks! > >
