I sometimes generate arrays using array comprehension syntax like this: array = [func(a,k) for a in 0.0:0.01:1.0, k in 0.0:0.01:1.0];
or alternately using `broadcast` like this: array = broadcast(func, linspace(0,1,101)', linspace(0,1,101)) This is the Julia equivalent to the following Mathematica code: array = Outer[func, Range[0,1,0.01], Range[0,1,0.01]]; To parallelize in Mathematica, you typically wrap the expression in `Parallelize`: array = Parallelize[Outer[func, Range[0,1,0.01], Range[0,1,0.01]]]; Is there a simple way to "parallel broadcast" or "parallel array comprehension" in Julia yet? I know I could manually chop the workload into chunks, and then feed them to available worker processes using `@spawnat`, and then fuse the results together into one large array, but I was wondering if there was a non-kludgy way to automatically distribute array comprehension syntax.
