How is thread management carried out in multi-processor systems?

In multiprocessor systems, thread management is carried out by the operating system scheduler, which distributes threads among available processors for parallel execution. In Python, the threading module can be used for working with threads, but due to the GIL (Global Interpreter Lock), true parallelism of threads is limited.

To efficiently utilize multiple processors in Python, the multiprocessing module is used, which creates separate processes with their own Python interpreter, allowing tasks to run in parallel on different cores.

Example of using multiprocessing:

from multiprocessing import Pool

def f(x):
    return x*x

if __name__ == '__main__':
    with Pool(4) as p:
        print(p.map(f, [1, 2, 3, 4]))

Thus, thread and process management in multiprocessor systems is achieved through OS scheduling and the use of appropriate programming language tools.