In order to do quality assurance in a critical multicore (8) workstation, I want to run the same code in different processors but not in parallel or concurrently.
I need to run it 8 times, one run for each processor.
What I don't know is how to select the processor I want.
How can this be accomplished in Python?
In Linux with schedutils, I believe you'd use taskset -c X python foo.py
to run that specific Python process on CPU X
(exactly how you identify your CPUs may vary, but I believe numbers such as 1, 2, 3, ... should work anywhere). I'm sure Windows, BSD versions, etc, have similar commands to support direct processor assignment, but I don't know them.
Which process goes on which core is normaly decided by your OS. On linux there is taskset from the schedutils package to explicitly run a program on a processor.
Python 2.6 has a multiprocessing module that takes python functions and runs them in seperate processes, probably moving each new process to a different core.
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