I work on a shared cluster. I've seen people run parallelized c code on this cluster which, when I use
top to see what processes are running, are shown to be using (for example) 400% of the CPU, since they are using four processors for a single instance of their code.
Now someone is running (what I hear to be) a parallelized Python code. However, instead of
top showing the Python code to be using 400% of the CPU, it is being shown as four different processes, each using their own processor (at 100%).
I am wondering, does Python (when parallelized) show with
top as running as many different processes (as opposed to C) or is this Python code not actually running in parallel?
I don't know if Stack Exchange would be a better place for this question. Since I am using
top I figured this place would be better. Let me know if I should move it.