Manual: Multi-processing and Distributed Computing

[leespen1]

In the Manual page on Multi-Processing and Distributed Computing (https://docs.julialang.org/en/v1/manual/distributed-computing/#Multi-processing-and-Distributed-Computing), the following code block appears

julia> r = @spawnat :any rand(2,2)
Future(2, 1, 4, nothing)

julia> s = @spawnat :any 1 .+ fetch(r)
Future(3, 1, 5, nothing)

julia> fetch(s)
2×2 Array{Float64,2}:
 1.38854  1.9098
 1.20939  1.57158

Followed by the paragraph

Note that we used 1 .+ fetch(r) instead of 1 .+ r. This is because we do not know where the code will run, so in general a fetch might be required to move r to the process doing the addition. In this case, @spawnat is smart enough to perform the computation on the process that owns r, so the fetch will be a no-op (no work is done).

Is it really true that the computation is done on the process that owns r? Based on the two Futures returned, it looks to me like the random matrix is created by process 2 (so that process 2 owns r), and the addition is done by process 3.