Can I use multiprocessing in a Python module

Development
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So in Slicer version 5.6.2, can i use the the native Python multi-processing methods? I test a sample code in the slicer python console ,and i find multi_thread method words very well, but multi_process method will crash the slicer.

import math
import time
from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor

# 测试的大素数列表
PRIMES = [112272535095293] * 10  # 重复多次以延长计算时间

# 判断一个数是否为素数
def is_prime(n):
    if n < 2:
        return False
    if n == 2:
        return True
    if n % 2 == 0:
        return False
    sqrt_n = int(math.sqrt(n)) + 1
    for i in range(3, sqrt_n, 2):
        if n % i == 0:
            return False
    return True

# 单线程运行
def single_thread():
    for number in PRIMES:
        is_prime(number)

# 多线程运行
def multi_thread():
    with ThreadPoolExecutor() as executor:
        executor.map(is_prime, PRIMES)

# 多进程运行
def multi_process():
    with ProcessPoolExecutor() as executor:
        executor.map(is_prime, PRIMES)

# 测试三种方法的运行时间
if __name__ == "__main__":
    for method, func in [("Single Thread", single_thread), 
                         ("Multi Thread", multi_thread), 
                         ("Multi Process", multi_process)]:
        start_time = time.time()
        func()
        end_time = time.time()
        print(f"{method} cost: {end_time - start_time:.2f} seconds")

In fact, I want to speed up the processing of extracting multimodal radiomics features. Currently, I am primarily using the following approach to call the CLI module:

self.cliNode = slicer.cli.run(slicer.modules.slicerradiomicscli, self.cliNode, cliParams,wait_for_completion=self.runSync)

As a result, I hope to call multiple CLI modules simultaneously. However, testing with Python’s multiprocessing seems not to work. Therefore, I would like to ask two questions:

  1. Can Python’s native multiprocessing be used in this scenario?
  2. Is it possible to call CLI modules in parallel?"