Python

Multiprocessing

Atteindre un véritable parallélisme avec multiprocessing.

#multiprocessing#multi-process

Code

python

from multiprocessing import Pool, cpu_count

def heavy_task(n):
    return sum(i * i for i in range(n))

if __name__ == "__main__":
    with Pool(processes=cpu_count()) as pool:
        results = pool.map(heavy_task, [10**6, 10**6, 10**6])
        print(results)

# Inter-process communication
from multiprocessing import Queue
q = Queue()
q.put("hello")
print(q.get())

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