[Python] multiprocessing queue full

I'm using concurrent.futures to implement multiprocessing. I am getting a queue.Full error, which is odd because I am only assigning 10 jobs.

import numpy as np
from concurrent.futures import ProcessPoolExecutor
A_list = [np.random.rand(2000, 2000) for i in range(10)]

with ProcessPoolExecutor() as pool:
pool.map(np.linalg.svd, A_list)


error:

Exception in thread Thread-9:
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/threading.py", line 921, in _bootstrap_inner
self.run()
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/threading.py", line 869, in run
self._target(*self._args, **self._kwargs)
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/concurrent/futures/process.py", line 251, in _queue_management_worker
shutdown_worker()
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/concurrent/futures/process.py", line 209, in shutdown_worker
call_queue.put_nowait(None)
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/multiprocessing/queues.py", line 131, in put_nowait
return self.put(obj, False)
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/multiprocessing/queues.py", line 82, in put
raise Full
queue.Full

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