Hello, I think that if N is too large and the computation load of @spawn is too small then the overhead of creating and dispatching the tasks outweighs the gain of parallelization. You can try @parallel, which distributes loop iterations across different workers.
f(i) = T(i) @parallel for i in 1:N v[i] = T(i) end Other options include to use pmap instead of map, or to use @async, but I didn't see any improvement in this case. Regards, Germán.
