[1] https://medium.com/@kapuramax/procedural-image-generation-in...
[2] http://www.nobledust.com/full_size/bullet.r0g0b0.x1000y1000....
[3] http://www.nobledust.com/full_size/b.brg.rr0.90.blur1.ch8.cp...
[4] http://www.nobledust.com/full_size/a.jpg
If you just want nondeterminacy, I'd suggest using math/rand directly, not accidents of scheduling... which, as was just proved, can disappear as quickly as they appear. In fact it doesn't even take something as serious as a language upgrade for that to happen, that kind of indeterminancy can disappear if you so much as add a member to a struct or have another process on your system eating 100% of one CPU or something. It's not reliable, not even a little.
As to scheduling v. random functions, much of what I like about the original is that the scheduling is completely out of my hands and it's not guaranteed to be consistently distributed or reproducible. It's as though the computer were making its own decisions.
I have a project started to rewrite the whole thing in c++ using random and using entirely Manhattan distance estimations for speed, but working with C++ is incredibly unpleasant and difficult to justify when I need to find a real job.