I could not find detailed documentation about the @async macro. From the docs about parallelism I understand that there is only one system thread used inside a Julia process and there is explicit task switching going on by the help of the yieldto function - correct me if I am wrong about this.
For me it is difficult to understand when exactly these task switches happen just by looking at the code, and knowing when it happens seems crucial.
As I understand a yieldto somewhere in the code (or in some function called by the code) needs to be there to ensure that the system is not stuck with only one task.
For example when there is a read operation, inside the read there probably is a wait call and in the implementation of wait there probably is a yieldto call. I thought that without the yieldto call the code would stuck in one task; however running the following example seems to prove this hypothesis wrong.
@async begin # Task A
while true
println("A")
end
end
while true # Task B
println("B")
end
This code produces the following output
BA
BA
BA
...
It is very unclear to me where the task switching happens inside the task created by the @async macro in the code above.
How can I tell about looking at some code the points where task switching happens?