pool.py

from multiprocessing import Pool
from time import sleep
import numpy as np

def sum_list(numbers):
    return sum(numbers)

master_list = np.arange(100000000).reshape(2,50000000)

l1 = [3, 5, 7]
l2 = [4, 6, 8]
# master_list = [l1, l2]
#result = map(lambda l: sum_list(l), master_list)
#print(list(result))

pool = Pool(processes=3)
results = pool.map(sum_list, master_list)
print(list(results))