Python中多处理的内存错误

我正在尝试使用Python执行一些昂贵的科学计算.我必须读取存储在csv文件中的一堆数据然后进行处理.由于每个过程需要很长时间,我有8个处理器可供使用,我试图使用该Pool方法Multiprocessing.

这就是我构建多处理调用的方式:

    pool = Pool()
    vector_components = []
    for sample in range(samples):
        vector_field_x_i = vector_field_samples_x[sample]
        vector_field_y_i = vector_field_samples_y[sample]
        vector_component = pool.apply_async(vector_field_decomposer, args=(x_dim, y_dim, x_steps, y_steps,
                                                                           vector_field_x_i, vector_field_y_i))
        vector_components.append(vector_component)
    pool.close()
    pool.join()

    vector_components = map(lambda k: k.get(), vector_components)

    for vector_component in vector_components:
        CsvH.write_vector_field(vector_component, '../CSV/RotationalFree/rotational_free_x_'+str(sample)+'.csv')

我正在运行500个样本的数据集,大小等于100(x_dim)乘以100(y_dim).

在那之前一切正常.

然后我收到500个400 x 400样本的数据集.

运行时,我在调用时遇到错误get.

我还尝试运行400 x 400的单个样本并得到相同的错误.

Traceback (most recent call last):
  File "__init__.py", line 33, in 
    VfD.samples_vector_field_decomposer(samples, x_dim, y_dim, x_steps, y_steps, vector_field_samples_x, vector_field_samples_y)
  File "/export/home/pceccon/VectorFieldDecomposer/Sources/Controllers/VectorFieldDecomposerController.py", line 43, in samples_vector_field_decomposer
    vector_components = map(lambda k: k.get(), vector_components)
  File "/export/home/pceccon/VectorFieldDecomposer/Sources/Controllers/VectorFieldDecomposerController.py", line 43, in 
    vector_components = map(lambda k: k.get(), vector_components)
  File "/export/home/pceccon/.pyenv/versions/2.7.5/lib/python2.7/multiprocessing/pool.py", line 554, in get
    raise self._value
MemoryError

我该怎么办？

先感谢您.